Overview

Dataset statistics

Number of variables370
Number of observations1384337
Missing cells55329088
Missing cells (%)10.8%
Total size in memory1.9 GiB
Average record size in memory1.5 KiB

Variable types

Categorical44
DateTime2
Boolean210
Numeric114

Alerts

IN_BAS has constant value "True"Constant
NO_MUNICIPIO has a high cardinality: 5297 distinct valuesHigh cardinality
CO_MUNICIPIO has a high cardinality: 5570 distinct valuesHigh cardinality
NO_MESORREGIAO has a high cardinality: 137 distinct valuesHigh cardinality
CO_MESORREGIAO has a high cardinality: 137 distinct valuesHigh cardinality
NO_MICRORREGIAO has a high cardinality: 554 distinct valuesHigh cardinality
CO_MICRORREGIAO has a high cardinality: 558 distinct valuesHigh cardinality
CO_DISTRITO has a high cardinality: 9644 distinct valuesHigh cardinality
CO_ENTIDADE has a high cardinality: 253855 distinct valuesHigh cardinality
NO_ENTIDADE has a high cardinality: 254463 distinct valuesHigh cardinality
DS_ENDERECO has a high cardinality: 191056 distinct valuesHigh cardinality
NU_ENDERECO has a high cardinality: 9635 distinct valuesHigh cardinality
DS_COMPLEMENTO has a high cardinality: 22310 distinct valuesHigh cardinality
NO_BAIRRO has a high cardinality: 38798 distinct valuesHigh cardinality
CO_CEP has a high cardinality: 167762 distinct valuesHigh cardinality
NU_DDD has a high cardinality: 136 distinct valuesHigh cardinality
NU_TELEFONE has a high cardinality: 304869 distinct valuesHigh cardinality
CO_ORGAO_REGIONAL has a high cardinality: 343 distinct valuesHigh cardinality
NU_CNPJ_ESCOLA_PRIVADA has a high cardinality: 50785 distinct valuesHigh cardinality
NU_CNPJ_MANTENEDORA has a high cardinality: 46225 distinct valuesHigh cardinality
CO_ESCOLA_SEDE_VINCULADA has a high cardinality: 1794 distinct valuesHigh cardinality
CO_IES_OFERTANTE has a high cardinality: 344 distinct valuesHigh cardinality
CO_LINGUA_INDIGENA_1 has a high cardinality: 197 distinct valuesHigh cardinality
CO_LINGUA_INDIGENA_2 has a high cardinality: 89 distinct valuesHigh cardinality
TP_CATEGORIA_ESCOLA_PRIVADA is highly imbalanced (62.8%)Imbalance
TP_LOCALIZACAO_DIFERENCIADA is highly imbalanced (64.5%)Imbalance
IN_VINCULO_SECRETARIA_EDUCACAO is highly imbalanced (99.1%)Imbalance
TP_CONVENIO_PODER_PUBLICO is highly imbalanced (86.0%)Imbalance
IN_MANT_ESCOLA_PRIVADA_EMP is highly imbalanced (69.8%)Imbalance
IN_MANT_ESCOLA_PRIVADA_ONG is highly imbalanced (56.6%)Imbalance
IN_MANT_ESCOLA_PRIVADA_OSCIP is highly imbalanced (56.4%)Imbalance
NU_CNPJ_ESCOLA_PRIVADA is highly imbalanced (77.1%)Imbalance
NU_CNPJ_MANTENEDORA is highly imbalanced (78.2%)Imbalance
CO_ESCOLA_SEDE_VINCULADA is highly imbalanced (98.1%)Imbalance
CO_IES_OFERTANTE is highly imbalanced (99.6%)Imbalance
IN_LOCAL_FUNC_PREDIO_ESCOLAR is highly imbalanced (81.6%)Imbalance
TP_OCUPACAO_GALPAO is highly imbalanced (94.5%)Imbalance
IN_AGUA_FILTRADA is highly imbalanced (70.3%)Imbalance
IN_AGUA_POTAVEL is highly imbalanced (85.0%)Imbalance
IN_ENERGIA_REDE_PUBLICA is highly imbalanced (80.0%)Imbalance
IN_BANHEIRO_DENTRO_PREDIO is highly imbalanced (69.3%)Imbalance
IN_BANHEIRO is highly imbalanced (90.0%)Imbalance
IN_COZINHA is highly imbalanced (64.4%)Imbalance
IN_INTERNET_ADMINISTRATIVO is highly imbalanced (55.6%)Imbalance
IN_PROF_SERVICOS_GERAIS is highly imbalanced (65.4%)Imbalance
IN_SERIE_ANO is highly imbalanced (68.7%)Imbalance
IN_MATERIAL_PED_JOGOS is highly imbalanced (53.7%)Imbalance
IN_MATERIAL_ESP_NAO_UTILIZA is highly imbalanced (93.2%)Imbalance
TP_INDIGENA_LINGUA is highly imbalanced (93.7%)Imbalance
CO_LINGUA_INDIGENA_1 is highly imbalanced (98.1%)Imbalance
CO_LINGUA_INDIGENA_2 is highly imbalanced (99.8%)Imbalance
CO_LINGUA_INDIGENA_3 is highly imbalanced (99.9%)Imbalance
IN_RESERVA_PPI is highly imbalanced (90.0%)Imbalance
IN_RESERVA_RENDA is highly imbalanced (90.5%)Imbalance
IN_RESERVA_PUBLICA is highly imbalanced (90.5%)Imbalance
IN_RESERVA_PCD is highly imbalanced (90.4%)Imbalance
IN_RESERVA_OUTROS is highly imbalanced (89.7%)Imbalance
IN_RESERVA_NENHUMA is highly imbalanced (94.8%)Imbalance
IN_MEDIACAO_PRESENCIAL is highly imbalanced (97.8%)Imbalance
IN_REGULAR is highly imbalanced (81.4%)Imbalance
IN_DIURNO is highly imbalanced (90.4%)Imbalance
NU_ENDERECO has 384911 (27.8%) missing valuesMissing
DS_COMPLEMENTO has 999011 (72.2%) missing valuesMissing
NO_BAIRRO has 291621 (21.1%) missing valuesMissing
CO_ORGAO_REGIONAL has 37041 (2.7%) missing valuesMissing
DT_ANO_LETIVO_INICIO has 282971 (20.4%) missing valuesMissing
DT_ANO_LETIVO_TERMINO has 282971 (20.4%) missing valuesMissing
QT_SALAS_EXISTENTES has 828667 (59.9%) missing valuesMissing
QT_SALAS_UTILIZADAS_DENTRO has 840533 (60.7%) missing valuesMissing
QT_SALAS_UTILIZADAS_FORA has 840533 (60.7%) missing valuesMissing
QT_SALAS_UTILIZADAS has 282971 (20.4%) missing valuesMissing
QT_SALAS_UTILIZA_CLIMATIZADAS has 840533 (60.7%) missing valuesMissing
QT_SALAS_UTILIZADAS_ACESSIVEIS has 840533 (60.7%) missing valuesMissing
QT_EQUIP_DVD has 282971 (20.4%) missing valuesMissing
QT_EQUIP_SOM has 282971 (20.4%) missing valuesMissing
QT_EQUIP_TV has 282971 (20.4%) missing valuesMissing
QT_EQUIP_LOUSA_DIGITAL has 840533 (60.7%) missing valuesMissing
QT_EQUIP_MULTIMIDIA has 282971 (20.4%) missing valuesMissing
QT_EQUIP_VIDEOCASSETE has 826775 (59.7%) missing valuesMissing
QT_EQUIP_PARABOLICA has 826775 (59.7%) missing valuesMissing
QT_EQUIP_COPIADORA has 826775 (59.7%) missing valuesMissing
QT_EQUIP_RETROPROJETOR has 826775 (59.7%) missing valuesMissing
QT_EQUIP_IMPRESSORA has 826775 (59.7%) missing valuesMissing
QT_EQUIP_IMPRESSORA_MULT has 826775 (59.7%) missing valuesMissing
QT_EQUIP_FAX has 826775 (59.7%) missing valuesMissing
QT_EQUIP_FOTO has 826775 (59.7%) missing valuesMissing
QT_COMP_ALUNO has 826775 (59.7%) missing valuesMissing
QT_DESKTOP_ALUNO has 840533 (60.7%) missing valuesMissing
QT_COMP_PORTATIL_ALUNO has 840533 (60.7%) missing valuesMissing
QT_TABLET_ALUNO has 840533 (60.7%) missing valuesMissing
QT_COMPUTADOR has 826775 (59.7%) missing valuesMissing
QT_COMP_ADMINISTRATIVO has 826775 (59.7%) missing valuesMissing
QT_FUNCIONARIOS has 826775 (59.7%) missing valuesMissing
QT_PROF_ADMINISTRATIVOS has 840533 (60.7%) missing valuesMissing
QT_PROF_SERVICOS_GERAIS has 840533 (60.7%) missing valuesMissing
QT_PROF_BIBLIOTECARIO has 840533 (60.7%) missing valuesMissing
QT_PROF_SAUDE has 840533 (60.7%) missing valuesMissing
QT_PROF_COORDENADOR has 840533 (60.7%) missing valuesMissing
QT_PROF_FONAUDIOLOGO has 840533 (60.7%) missing valuesMissing
QT_PROF_NUTRICIONISTA has 840533 (60.7%) missing valuesMissing
QT_PROF_PSICOLOGO has 840533 (60.7%) missing valuesMissing
QT_PROF_ALIMENTACAO has 840533 (60.7%) missing valuesMissing
QT_PROF_PEDAGOGIA has 840533 (60.7%) missing valuesMissing
QT_PROF_SECRETARIO has 840533 (60.7%) missing valuesMissing
QT_PROF_SEGURANCA has 840533 (60.7%) missing valuesMissing
QT_PROF_MONITORES has 840533 (60.7%) missing valuesMissing
QT_PROF_GESTAO has 1023001 (73.9%) missing valuesMissing
QT_PROF_ASSIST_SOCIAL has 1023001 (73.9%) missing valuesMissing
QT_MAT_BAS has 293659 (21.2%) missing valuesMissing
QT_MAT_INF has 293659 (21.2%) missing valuesMissing
QT_MAT_INF_CRE has 293659 (21.2%) missing valuesMissing
QT_MAT_INF_PRE has 293659 (21.2%) missing valuesMissing
QT_MAT_FUND has 293659 (21.2%) missing valuesMissing
QT_MAT_FUND_AI has 293659 (21.2%) missing valuesMissing
QT_MAT_FUND_AF has 293659 (21.2%) missing valuesMissing
QT_MAT_MED has 293659 (21.2%) missing valuesMissing
QT_MAT_PROF has 293659 (21.2%) missing valuesMissing
QT_MAT_PROF_TEC has 293659 (21.2%) missing valuesMissing
QT_MAT_EJA has 293659 (21.2%) missing valuesMissing
QT_MAT_EJA_FUND has 293659 (21.2%) missing valuesMissing
QT_MAT_EJA_MED has 293659 (21.2%) missing valuesMissing
QT_MAT_ESP has 293659 (21.2%) missing valuesMissing
QT_MAT_ESP_CC has 293659 (21.2%) missing valuesMissing
QT_MAT_ESP_CE has 293659 (21.2%) missing valuesMissing
QT_MAT_BAS_FEM has 293659 (21.2%) missing valuesMissing
QT_MAT_BAS_MASC has 293659 (21.2%) missing valuesMissing
QT_MAT_BAS_ND has 293659 (21.2%) missing valuesMissing
QT_MAT_BAS_BRANCA has 293659 (21.2%) missing valuesMissing
QT_MAT_BAS_PRETA has 293659 (21.2%) missing valuesMissing
QT_MAT_BAS_PARDA has 293659 (21.2%) missing valuesMissing
QT_MAT_BAS_AMARELA has 293659 (21.2%) missing valuesMissing
QT_MAT_BAS_INDIGENA has 293659 (21.2%) missing valuesMissing
QT_MAT_BAS_0_3 has 293659 (21.2%) missing valuesMissing
QT_MAT_BAS_4_5 has 293659 (21.2%) missing valuesMissing
QT_MAT_BAS_6_10 has 293659 (21.2%) missing valuesMissing
QT_MAT_BAS_11_14 has 293659 (21.2%) missing valuesMissing
QT_MAT_BAS_15_17 has 293659 (21.2%) missing valuesMissing
QT_MAT_BAS_18_MAIS has 293659 (21.2%) missing valuesMissing
QT_MAT_BAS_D has 293659 (21.2%) missing valuesMissing
QT_MAT_BAS_N has 293659 (21.2%) missing valuesMissing
QT_MAT_BAS_EAD has 293659 (21.2%) missing valuesMissing
QT_MAT_INF_INT has 293659 (21.2%) missing valuesMissing
QT_MAT_INF_CRE_INT has 293659 (21.2%) missing valuesMissing
QT_MAT_INF_PRE_INT has 293659 (21.2%) missing valuesMissing
QT_MAT_FUND_INT has 293659 (21.2%) missing valuesMissing
QT_MAT_FUND_AI_INT has 293659 (21.2%) missing valuesMissing
QT_MAT_FUND_AF_INT has 293659 (21.2%) missing valuesMissing
QT_MAT_MED_INT has 293659 (21.2%) missing valuesMissing
QT_DOC_BAS has 296093 (21.4%) missing valuesMissing
QT_DOC_INF has 296093 (21.4%) missing valuesMissing
QT_DOC_INF_CRE has 296093 (21.4%) missing valuesMissing
QT_DOC_INF_PRE has 296093 (21.4%) missing valuesMissing
QT_DOC_FUND has 296093 (21.4%) missing valuesMissing
QT_DOC_FUND_AI has 296093 (21.4%) missing valuesMissing
QT_DOC_FUND_AF has 296093 (21.4%) missing valuesMissing
QT_DOC_MED has 296093 (21.4%) missing valuesMissing
QT_DOC_PROF has 296093 (21.4%) missing valuesMissing
QT_DOC_PROF_TEC has 296093 (21.4%) missing valuesMissing
QT_DOC_EJA has 296093 (21.4%) missing valuesMissing
QT_DOC_EJA_FUND has 296093 (21.4%) missing valuesMissing
QT_DOC_EJA_MED has 296093 (21.4%) missing valuesMissing
QT_DOC_ESP has 296093 (21.4%) missing valuesMissing
QT_DOC_ESP_CC has 296093 (21.4%) missing valuesMissing
QT_DOC_ESP_CE has 296093 (21.4%) missing valuesMissing
QT_TUR_BAS has 293659 (21.2%) missing valuesMissing
QT_TUR_INF has 293659 (21.2%) missing valuesMissing
QT_TUR_INF_CRE has 293659 (21.2%) missing valuesMissing
QT_TUR_INF_PRE has 293659 (21.2%) missing valuesMissing
QT_TUR_FUND has 293659 (21.2%) missing valuesMissing
QT_TUR_FUND_AI has 293659 (21.2%) missing valuesMissing
QT_TUR_FUND_AF has 293659 (21.2%) missing valuesMissing
QT_TUR_MED has 293659 (21.2%) missing valuesMissing
QT_TUR_PROF has 293659 (21.2%) missing valuesMissing
QT_TUR_PROF_TEC has 293659 (21.2%) missing valuesMissing
QT_TUR_EJA has 293659 (21.2%) missing valuesMissing
QT_TUR_EJA_FUND has 293659 (21.2%) missing valuesMissing
QT_TUR_EJA_MED has 293659 (21.2%) missing valuesMissing
QT_TUR_ESP has 293659 (21.2%) missing valuesMissing
QT_TUR_ESP_CC has 293659 (21.2%) missing valuesMissing
QT_TUR_ESP_CE has 293659 (21.2%) missing valuesMissing
QT_SALAS_EXISTENTES is highly skewed (γ1 = 95.75849566)Skewed
QT_SALAS_UTILIZADAS_DENTRO is highly skewed (γ1 = 352.9956715)Skewed
QT_SALAS_UTILIZADAS_FORA is highly skewed (γ1 = 688.4409599)Skewed
QT_SALAS_UTILIZADAS is highly skewed (γ1 = 399.1170497)Skewed
QT_EQUIP_DVD is highly skewed (γ1 = 36.38564228)Skewed
QT_EQUIP_LOUSA_DIGITAL is highly skewed (γ1 = 65.41187555)Skewed
QT_EQUIP_MULTIMIDIA is highly skewed (γ1 = 22.82957708)Skewed
QT_EQUIP_VIDEOCASSETE is highly skewed (γ1 = 743.6990001)Skewed
QT_EQUIP_COPIADORA is highly skewed (γ1 = 340.7935974)Skewed
QT_EQUIP_RETROPROJETOR is highly skewed (γ1 = 34.72382066)Skewed
QT_EQUIP_IMPRESSORA is highly skewed (γ1 = 25.1060088)Skewed
QT_EQUIP_FAX is highly skewed (γ1 = 521.0657411)Skewed
QT_EQUIP_FOTO is highly skewed (γ1 = 734.1729106)Skewed
QT_COMP_ALUNO is highly skewed (γ1 = 20.49840039)Skewed
QT_DESKTOP_ALUNO is highly skewed (γ1 = 25.66332285)Skewed
QT_COMP_PORTATIL_ALUNO is highly skewed (γ1 = 56.28517367)Skewed
QT_TABLET_ALUNO is highly skewed (γ1 = 68.86429096)Skewed
QT_COMPUTADOR is highly skewed (γ1 = 24.06705353)Skewed
QT_COMP_ADMINISTRATIVO is highly skewed (γ1 = 39.16819693)Skewed
QT_FUNCIONARIOS is highly skewed (γ1 = 56.65270617)Skewed
QT_PROF_SERVICOS_GERAIS is highly skewed (γ1 = 21.55394135)Skewed
QT_PROF_BIBLIOTECARIO is highly skewed (γ1 = 26.60560922)Skewed
QT_PROF_COORDENADOR is highly skewed (γ1 = 28.08138987)Skewed
QT_PROF_FONAUDIOLOGO is highly skewed (γ1 = 74.85486114)Skewed
QT_PROF_NUTRICIONISTA is highly skewed (γ1 = 119.6139613)Skewed
QT_PROF_PSICOLOGO is highly skewed (γ1 = 64.40641662)Skewed
QT_PROF_ALIMENTACAO is highly skewed (γ1 = 42.11997502)Skewed
QT_PROF_SECRETARIO is highly skewed (γ1 = 81.91807675)Skewed
QT_PROF_SEGURANCA is highly skewed (γ1 = 21.27985534)Skewed
QT_PROF_GESTAO is highly skewed (γ1 = 66.76747582)Skewed
QT_PROF_ASSIST_SOCIAL is highly skewed (γ1 = 128.1459484)Skewed
QT_MAT_EJA is highly skewed (γ1 = 30.82700845)Skewed
QT_MAT_EJA_MED is highly skewed (γ1 = 38.9468338)Skewed
QT_MAT_BAS_PRETA is highly skewed (γ1 = 37.68355205)Skewed
QT_MAT_BAS_AMARELA is highly skewed (γ1 = 43.6657931)Skewed
QT_MAT_BAS_INDIGENA is highly skewed (γ1 = 29.02045465)Skewed
QT_MAT_BAS_18_MAIS is highly skewed (γ1 = 39.01168581)Skewed
QT_MAT_BAS_EAD is highly skewed (γ1 = 28.24464228)Skewed
QT_TUR_EJA is highly skewed (γ1 = 70.53674612)Skewed
QT_TUR_EJA_FUND is highly skewed (γ1 = 61.78321431)Skewed
QT_TUR_EJA_MED is highly skewed (γ1 = 114.5597088)Skewed
QT_SALAS_UTILIZADAS_DENTRO has 14419 (1.0%) zerosZeros
QT_SALAS_UTILIZADAS_FORA has 483413 (34.9%) zerosZeros
QT_SALAS_UTILIZA_CLIMATIZADAS has 371702 (26.9%) zerosZeros
QT_SALAS_UTILIZADAS_ACESSIVEIS has 403979 (29.2%) zerosZeros
QT_EQUIP_DVD has 344119 (24.9%) zerosZeros
QT_EQUIP_SOM has 292167 (21.1%) zerosZeros
QT_EQUIP_TV has 213797 (15.4%) zerosZeros
QT_EQUIP_LOUSA_DIGITAL has 479608 (34.6%) zerosZeros
QT_EQUIP_MULTIMIDIA has 468742 (33.9%) zerosZeros
QT_EQUIP_VIDEOCASSETE has 469751 (33.9%) zerosZeros
QT_EQUIP_PARABOLICA has 436878 (31.6%) zerosZeros
QT_EQUIP_COPIADORA has 311176 (22.5%) zerosZeros
QT_EQUIP_RETROPROJETOR has 398621 (28.8%) zerosZeros
QT_EQUIP_IMPRESSORA has 186466 (13.5%) zerosZeros
QT_EQUIP_IMPRESSORA_MULT has 293280 (21.2%) zerosZeros
QT_EQUIP_FAX has 475118 (34.3%) zerosZeros
QT_EQUIP_FOTO has 248128 (17.9%) zerosZeros
QT_COMP_ALUNO has 276825 (20.0%) zerosZeros
QT_DESKTOP_ALUNO has 300909 (21.7%) zerosZeros
QT_COMP_PORTATIL_ALUNO has 396278 (28.6%) zerosZeros
QT_TABLET_ALUNO has 487776 (35.2%) zerosZeros
QT_COMPUTADOR has 107129 (7.7%) zerosZeros
QT_COMP_ADMINISTRATIVO has 136415 (9.9%) zerosZeros
QT_PROF_ADMINISTRATIVOS has 219343 (15.8%) zerosZeros
QT_PROF_SERVICOS_GERAIS has 89608 (6.5%) zerosZeros
QT_PROF_BIBLIOTECARIO has 428486 (31.0%) zerosZeros
QT_PROF_SAUDE has 524548 (37.9%) zerosZeros
QT_PROF_COORDENADOR has 393947 (28.5%) zerosZeros
QT_PROF_FONAUDIOLOGO has 526761 (38.1%) zerosZeros
QT_PROF_NUTRICIONISTA has 443683 (32.1%) zerosZeros
QT_PROF_PSICOLOGO has 493330 (35.6%) zerosZeros
QT_PROF_ALIMENTACAO has 200658 (14.5%) zerosZeros
QT_PROF_PEDAGOGIA has 206108 (14.9%) zerosZeros
QT_PROF_SECRETARIO has 244600 (17.7%) zerosZeros
QT_PROF_SEGURANCA has 453310 (32.7%) zerosZeros
QT_PROF_MONITORES has 479935 (34.7%) zerosZeros
QT_PROF_GESTAO has 205706 (14.9%) zerosZeros
QT_PROF_ASSIST_SOCIAL has 343214 (24.8%) zerosZeros
QT_MAT_INF has 400057 (28.9%) zerosZeros
QT_MAT_INF_CRE has 675620 (48.8%) zerosZeros
QT_MAT_INF_PRE has 472772 (34.2%) zerosZeros
QT_MAT_FUND has 321587 (23.2%) zerosZeros
QT_MAT_FUND_AI has 420379 (30.4%) zerosZeros
QT_MAT_FUND_AF has 718363 (51.9%) zerosZeros
QT_MAT_MED has 918133 (66.3%) zerosZeros
QT_MAT_PROF has 1048623 (75.7%) zerosZeros
QT_MAT_PROF_TEC has 1051297 (75.9%) zerosZeros
QT_MAT_EJA has 908343 (65.6%) zerosZeros
QT_MAT_EJA_FUND has 939754 (67.9%) zerosZeros
QT_MAT_EJA_MED has 1033388 (74.6%) zerosZeros
QT_MAT_ESP has 375213 (27.1%) zerosZeros
QT_MAT_ESP_CC has 386624 (27.9%) zerosZeros
QT_MAT_ESP_CE has 1070524 (77.3%) zerosZeros
QT_MAT_BAS_ND has 86525 (6.3%) zerosZeros
QT_MAT_BAS_BRANCA has 109742 (7.9%) zerosZeros
QT_MAT_BAS_PRETA has 328445 (23.7%) zerosZeros
QT_MAT_BAS_PARDA has 56682 (4.1%) zerosZeros
QT_MAT_BAS_AMARELA has 769696 (55.6%) zerosZeros
QT_MAT_BAS_INDIGENA has 908117 (65.6%) zerosZeros
QT_MAT_BAS_0_3 has 609750 (44.0%) zerosZeros
QT_MAT_BAS_4_5 has 352927 (25.5%) zerosZeros
QT_MAT_BAS_6_10 has 247385 (17.9%) zerosZeros
QT_MAT_BAS_11_14 has 356420 (25.7%) zerosZeros
QT_MAT_BAS_15_17 has 561925 (40.6%) zerosZeros
QT_MAT_BAS_18_MAIS has 650171 (47.0%) zerosZeros
QT_MAT_BAS_D has 17013 (1.2%) zerosZeros
QT_MAT_BAS_N has 870818 (62.9%) zerosZeros
QT_MAT_BAS_EAD has 1083348 (78.3%) zerosZeros
QT_MAT_INF_INT has 897829 (64.9%) zerosZeros
QT_MAT_INF_CRE_INT has 918354 (66.3%) zerosZeros
QT_MAT_INF_PRE_INT has 1002771 (72.4%) zerosZeros
QT_MAT_FUND_INT has 934284 (67.5%) zerosZeros
QT_MAT_FUND_AI_INT has 970590 (70.1%) zerosZeros
QT_MAT_FUND_AF_INT has 1011032 (73.0%) zerosZeros
QT_MAT_MED_INT has 1059937 (76.6%) zerosZeros
QT_DOC_INF has 485860 (35.1%) zerosZeros
QT_DOC_INF_CRE has 745687 (53.9%) zerosZeros
QT_DOC_INF_PRE has 556106 (40.2%) zerosZeros
QT_DOC_FUND has 319192 (23.1%) zerosZeros
QT_DOC_FUND_AI has 511304 (36.9%) zerosZeros
QT_DOC_FUND_AF has 581429 (42.0%) zerosZeros
QT_DOC_MED has 915707 (66.1%) zerosZeros
QT_DOC_PROF has 1046194 (75.6%) zerosZeros
QT_DOC_PROF_TEC has 1048868 (75.8%) zerosZeros
QT_DOC_EJA has 905913 (65.4%) zerosZeros
QT_DOC_EJA_FUND has 937323 (67.7%) zerosZeros
QT_DOC_EJA_MED has 1030958 (74.5%) zerosZeros
QT_DOC_ESP has 374392 (27.0%) zerosZeros
QT_DOC_ESP_CC has 385799 (27.9%) zerosZeros
QT_DOC_ESP_CE has 1068117 (77.2%) zerosZeros
QT_TUR_INF has 485758 (35.1%) zerosZeros
QT_TUR_INF_CRE has 741087 (53.5%) zerosZeros
QT_TUR_INF_PRE has 558443 (40.3%) zerosZeros
QT_TUR_FUND has 321587 (23.2%) zerosZeros
QT_TUR_FUND_AI has 513691 (37.1%) zerosZeros
QT_TUR_FUND_AF has 583828 (42.2%) zerosZeros
QT_TUR_MED has 918133 (66.3%) zerosZeros
QT_TUR_PROF has 1048623 (75.7%) zerosZeros
QT_TUR_PROF_TEC has 1051297 (75.9%) zerosZeros
QT_TUR_EJA has 908343 (65.6%) zerosZeros
QT_TUR_EJA_FUND has 939754 (67.9%) zerosZeros
QT_TUR_EJA_MED has 1033388 (74.6%) zerosZeros
QT_TUR_ESP has 375213 (27.1%) zerosZeros
QT_TUR_ESP_CC has 386624 (27.9%) zerosZeros
QT_TUR_ESP_CE has 1070524 (77.3%) zerosZeros

Reproduction

Analysis started2023-02-05 21:18:24.911970
Analysis finished2023-02-05 21:19:14.706024
Duration49.79 seconds
Software versionpandas-profiling v3.6.6
Download configurationconfig.json

Variables

NO_REGIAO
Categorical

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size10.6 MiB
Nordeste
521478 
Sudeste
453191 
Sul
176818 
Norte
162718 
Centro-Oeste
70132 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNorte
2nd rowNorte
3rd rowNorte
4th rowNorte
5th rowNorte

Common Values

ValueCountFrequency (%)
Nordeste 521478
37.7%
Sudeste 453191
32.7%
Sul 176818
 
12.8%
Norte 162718
 
11.8%
Centro-Oeste 70132
 
5.1%

Common Values (Plot)

2023-02-05T18:19:14.799844image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

CO_REGIAO
Categorical

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size10.6 MiB
2
521478 
3
453191 
4
176818 
1
162718 
5
70132 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
2 521478
37.7%
3 453191
32.7%
4 176818
 
12.8%
1 162718
 
11.8%
5 70132
 
5.1%

Common Values (Plot)

2023-02-05T18:19:14.923024image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

NO_UF
Categorical

Distinct27
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size10.6 MiB
São Paulo
199289 
Minas Gerais
147816 
Bahia
141767 
Maranhão
87997 
Rio de Janeiro
81093 
Other values (22)
726375 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowRondônia
2nd rowRondônia
3rd rowRondônia
4th rowRondônia
5th rowRondônia

Common Values

ValueCountFrequency (%)
São Paulo 199289
14.4%
Minas Gerais 147816
 
10.7%
Bahia 141767
 
10.2%
Maranhão 87997
 
6.4%
Rio de Janeiro 81093
 
5.9%
Pará 77892
 
5.6%
Rio Grande do Sul 70782
 
5.1%
Pernambuco 69621
 
5.0%
Ceará 69204
 
5.0%
Paraná 60889
 
4.4%
Other values (17) 377987
27.3%

SG_UF
Categorical

Distinct27
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size10.6 MiB
SP
199289 
MG
147816 
BA
141767 
MA
87997 
RJ
81093 
Other values (22)
726375 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowRO
2nd rowRO
3rd rowRO
4th rowRO
5th rowRO

Common Values

ValueCountFrequency (%)
SP 199289
14.4%
MG 147816
 
10.7%
BA 141767
 
10.2%
MA 87997
 
6.4%
RJ 81093
 
5.9%
PA 77892
 
5.6%
RS 70782
 
5.1%
PE 69621
 
5.0%
CE 69204
 
5.0%
PR 60889
 
4.4%
Other values (17) 377987
27.3%

CO_UF
Categorical

Distinct27
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size10.6 MiB
35
199289 
31
147816 
29
141767 
21
87997 
33
81093 
Other values (22)
726375 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row11
2nd row11
3rd row11
4th row11
5th row11

Common Values

ValueCountFrequency (%)
35 199289
14.4%
31 147816
 
10.7%
29 141767
 
10.2%
21 87997
 
6.4%
33 81093
 
5.9%
15 77892
 
5.6%
43 70782
 
5.1%
26 69621
 
5.0%
23 69204
 
5.0%
41 60889
 
4.4%
Other values (17) 377987
27.3%

NO_MUNICIPIO
Categorical

Distinct5297
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size10.6 MiB
São Paulo
 
48626
Rio de Janeiro
 
26248
Belo Horizonte
 
11388
Fortaleza
 
10660
Salvador
 
9334
Other values (5292)
1278081 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowAlta Floresta D'Oeste
2nd rowAlta Floresta D'Oeste
3rd rowAlta Floresta D'Oeste
4th rowAlta Floresta D'Oeste
5th rowAlta Floresta D'Oeste

Common Values

ValueCountFrequency (%)
São Paulo 48626
 
3.5%
Rio de Janeiro 26248
 
1.9%
Belo Horizonte 11388
 
0.8%
Fortaleza 10660
 
0.8%
Salvador 9334
 
0.7%
Recife 8877
 
0.6%
Brasília 8157
 
0.6%
Curitiba 6934
 
0.5%
Porto Alegre 6710
 
0.5%
Manaus 6293
 
0.5%
Other values (5287) 1241110
89.7%

CO_MUNICIPIO
Categorical

Distinct5570
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size10.6 MiB
3550308
 
48626
3304557
 
26248
3106200
 
11388
2304400
 
10660
2927408
 
9334
Other values (5565)
1278081 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1100015
2nd row1100015
3rd row1100015
4th row1100015
5th row1100015

Common Values

ValueCountFrequency (%)
3550308 48626
 
3.5%
3304557 26248
 
1.9%
3106200 11388
 
0.8%
2304400 10660
 
0.8%
2927408 9334
 
0.7%
2611606 8877
 
0.6%
5300108 8157
 
0.6%
4106902 6934
 
0.5%
4314902 6710
 
0.5%
1302603 6293
 
0.5%
Other values (5560) 1241110
89.7%

NO_MESORREGIAO
Categorical

Distinct137
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size10.6 MiB
Metropolitana de São Paulo
 
90583
Metropolitana do Rio de Janeiro
 
54523
Metropolitana de Belo Horizonte
 
34075
Centro Sul Baiano
 
30769
Norte Maranhense
 
30498
Other values (132)
1143889 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowLeste Rondoniense
2nd rowLeste Rondoniense
3rd rowLeste Rondoniense
4th rowLeste Rondoniense
5th rowLeste Rondoniense

Common Values

ValueCountFrequency (%)
Metropolitana de São Paulo 90583
 
6.5%
Metropolitana do Rio de Janeiro 54523
 
3.9%
Metropolitana de Belo Horizonte 34075
 
2.5%
Centro Sul Baiano 30769
 
2.2%
Norte Maranhense 30498
 
2.2%
Centro Norte Baiano 25360
 
1.8%
Metropolitana de Porto Alegre 25327
 
1.8%
Nordeste Paraense 24883
 
1.8%
Metropolitana de Salvador 22077
 
1.6%
Sul Baiano 21976
 
1.6%
Other values (127) 1024266
74.0%

CO_MESORREGIAO
Categorical

Distinct137
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size10.6 MiB
3515
 
90583
3306
 
54523
3107
 
34075
2906
 
30769
2101
 
30498
Other values (132)
1143889 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1102
2nd row1102
3rd row1102
4th row1102
5th row1102

Common Values

ValueCountFrequency (%)
3515 90583
 
6.5%
3306 54523
 
3.9%
3107 34075
 
2.5%
2906 30769
 
2.2%
2101 30498
 
2.2%
2903 25360
 
1.8%
4305 25327
 
1.8%
1504 24883
 
1.8%
2905 22077
 
1.6%
2907 21976
 
1.6%
Other values (127) 1024266
74.0%

NO_MICRORREGIAO
Categorical

Distinct554
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size10.6 MiB
São Paulo
 
58311
Rio de Janeiro
 
47863
Belo Horizonte
 
21761
Recife
 
18070
Porto Alegre
 
16591
Other values (549)
1221741 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowCacoal
2nd rowCacoal
3rd rowCacoal
4th rowCacoal
5th rowCacoal

Common Values

ValueCountFrequency (%)
São Paulo 58311
 
4.2%
Rio de Janeiro 47863
 
3.5%
Belo Horizonte 21761
 
1.6%
Recife 18070
 
1.3%
Porto Alegre 16591
 
1.2%
Fortaleza 16566
 
1.2%
Salvador 14125
 
1.0%
Curitiba 13559
 
1.0%
Campinas 12110
 
0.9%
Ilhéus-Itabuna 11078
 
0.8%
Other values (544) 1154303
83.4%

CO_MICRORREGIAO
Categorical

Distinct558
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size10.6 MiB
35061
 
58311
33018
 
47863
31030
 
21761
26017
 
18070
43026
 
16591
Other values (553)
1221741 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row11006
2nd row11006
3rd row11006
4th row11006
5th row11006

Common Values

ValueCountFrequency (%)
35061 58311
 
4.2%
33018 47863
 
3.5%
31030 21761
 
1.6%
26017 18070
 
1.3%
43026 16591
 
1.2%
23016 16566
 
1.2%
29021 14125
 
1.0%
41037 13559
 
1.0%
35032 12110
 
0.9%
29031 11078
 
0.8%
Other values (548) 1154303
83.4%

CO_DISTRITO
Categorical

Distinct9644
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size10.6 MiB
330455705
 
26248
230440005
 
9463
292740805
 
9334
261160605
 
8877
310620005
 
8521
Other values (9639)
1321894 

Unique

Unique137 ?
Unique (%)< 0.1%

Sample

1st row110001505
2nd row110001505
3rd row110001505
4th row110001505
5th row110001530

Common Values

ValueCountFrequency (%)
330455705 26248
 
1.9%
230440005 9463
 
0.7%
292740805 9334
 
0.7%
261160605 8877
 
0.6%
310620005 8521
 
0.6%
530010805 8157
 
0.6%
410690205 6934
 
0.5%
431490205 6710
 
0.5%
130260305 6293
 
0.5%
520870705 5194
 
0.4%
Other values (9634) 1288606
93.1%

CO_ENTIDADE
Categorical

Distinct253855
Distinct (%)18.3%
Missing0
Missing (%)0.0%
Memory size10.6 MiB
11022558
 
6
26170639
 
6
26170663
 
6
26170671
 
6
26170710
 
6
Other values (253850)
1384307 

Unique

Unique7453 ?
Unique (%)0.5%

Sample

1st row11022558
2nd row11024275
3rd row11024291
4th row11024313
5th row11024372

Common Values

ValueCountFrequency (%)
11022558 6
 
< 0.1%
26170639 6
 
< 0.1%
26170663 6
 
< 0.1%
26170671 6
 
< 0.1%
26170710 6
 
< 0.1%
26170728 6
 
< 0.1%
26170736 6
 
< 0.1%
26170744 6
 
< 0.1%
26170779 6
 
< 0.1%
26170795 6
 
< 0.1%
Other values (253845) 1384277
> 99.9%

NO_ENTIDADE
Categorical

Distinct254463
Distinct (%)18.4%
Missing0
Missing (%)0.0%
Memory size10.6 MiB
ESCOLA MUNICIPAL SAO JOSE
 
938
ESCOLA MUNICIPAL SANTO ANTONIO
 
794
EM SAO JOSE
 
611
ESCOLA MUNICIPAL SANTA LUZIA
 
520
ESCOLA MUNICIPAL RUI BARBOSA
 
508
Other values (254458)
1380966 

Unique

Unique20790 ?
Unique (%)1.5%

Sample

1st rowEIEEF HAP BITT TUPARI
2nd rowCEEJA LUIZ VAZ DE CAMOES
3rd rowEMMEF 7 DE SETEMBRO
4th rowEMMEF AFONSO AURELIO PORTO
5th rowEMEIEF ANA NERY

Common Values

ValueCountFrequency (%)
ESCOLA MUNICIPAL SAO JOSE 938
 
0.1%
ESCOLA MUNICIPAL SANTO ANTONIO 794
 
0.1%
EM SAO JOSE 611
 
< 0.1%
ESCOLA MUNICIPAL SANTA LUZIA 520
 
< 0.1%
ESCOLA MUNICIPAL RUI BARBOSA 508
 
< 0.1%
ESCOLA MUNICIPAL SAO SEBASTIAO 500
 
< 0.1%
EM SAO FRANCISCO 480
 
< 0.1%
ESCOLA SAO JOSE 471
 
< 0.1%
ESCOLA MUNICIPAL SANTA RITA 399
 
< 0.1%
ESCOLA MUNICIPAL CASTRO ALVES 388
 
< 0.1%
Other values (254453) 1378728
99.6%

TP_DEPENDENCIA
Categorical

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size10.6 MiB
Municipal
862645 
Privada
312906 
Estadual
204458 
Federal
 
4328

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowEstadual
2nd rowEstadual
3rd rowMunicipal
4th rowMunicipal
5th rowMunicipal

Common Values

ValueCountFrequency (%)
Municipal 862645
62.3%
Privada 312906
 
22.6%
Estadual 204458
 
14.8%
Federal 4328
 
0.3%

Common Values (Plot)

2023-02-05T18:19:15.058110image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

TP_CATEGORIA_ESCOLA_PRIVADA
Categorical

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size10.6 MiB
1136270 
Particular
187186 
Filantrópica
 
46714
Comunitária
 
12143
Confessional
 
2024

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row
2nd row
3rd row
4th row
5th row

Common Values

ValueCountFrequency (%)
1136270
82.1%
Particular 187186
 
13.5%
Filantrópica 46714
 
3.4%
Comunitária 12143
 
0.9%
Confessional 2024
 
0.1%

Common Values (Plot)

2023-02-05T18:19:15.172626image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

TP_LOCALIZACAO
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size10.6 MiB
Urbana
856034 
Rural
528303 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowRural
2nd rowUrbana
3rd rowRural
4th rowRural
5th rowUrbana

Common Values

ValueCountFrequency (%)
Urbana 856034
61.8%
Rural 528303
38.2%

Common Values (Plot)

2023-02-05T18:19:15.274790image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

TP_LOCALIZACAO_DIFERENCIADA
Categorical

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size10.6 MiB
A escola não está em área de localização diferenciada
1037366 
282971 
Área de assentamento
 
26832
Terra indígena
 
19697
Área onde se localiza comunidade remanescente de quilombos
 
14787
Other values (3)
 
2684

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowTerra indígena
2nd rowA escola não está em área de localização diferenciada
3rd rowA escola não está em área de localização diferenciada
4th row
5th rowA escola não está em área de localização diferenciada

Common Values

ValueCountFrequency (%)
A escola não está em área de localização diferenciada 1037366
74.9%
282971
 
20.4%
Área de assentamento 26832
 
1.9%
Terra indígena 19697
 
1.4%
Área onde se localiza comunidade remanescente de quilombos 14787
 
1.1%
Unidade de uso sustentável 2468
 
0.2%
Unidade de uso sustentável em área remanescente de quilombos 163
 
< 0.1%
Unidade de uso sustentável em terra indígena 53
 
< 0.1%

Common Values (Plot)

2023-02-05T18:19:15.389070image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

DS_ENDERECO
Categorical

Distinct191056
Distinct (%)13.9%
Missing6153
Missing (%)0.4%
Memory size10.6 MiB
ZONA RURAL
 
9515
RUA PRINCIPAL
 
3945
CENTRO
 
2742
AREA RURAL
 
2547
RUA PROJETADA
 
2263
Other values (191051)
1357172 

Unique

Unique20392 ?
Unique (%)1.5%

Sample

1st rowTERRA INDIGENA RIO BRANCO
2nd rowAVENIDA RIO DE JANEIRO
3rd rowLINHA 60 COM A 140
4th rowLINHA 40 COM A LINHA 156 KM 18
5th rowROLIM DE MOURA DO GUAPORE

Common Values

ValueCountFrequency (%)
ZONA RURAL 9515
 
0.7%
RUA PRINCIPAL 3945
 
0.3%
CENTRO 2742
 
0.2%
AREA RURAL 2547
 
0.2%
RUA PROJETADA 2263
 
0.2%
RURAL 2111
 
0.2%
FAZENDA 1496
 
0.1%
RUA SAO JOSE 1312
 
0.1%
RUA DUQUE DE CAXIAS 1309
 
0.1%
RUA SAO PAULO 1290
 
0.1%
Other values (191046) 1349654
97.5%
(Missing) 6153
 
0.4%

NU_ENDERECO
Categorical

HIGH CARDINALITY  MISSING 

Distinct9635
Distinct (%)1.0%
Missing384911
Missing (%)27.8%
Memory size10.6 MiB
SN
149871 
S/N
139085 
0
 
45541
S/Nº
 
12956
100
 
6319
Other values (9630)
645654 

Unique

Unique901 ?
Unique (%)0.1%

Sample

1st row4776
2nd row3861
3rd row4503
4th row2973
5th row4581

Common Values

ValueCountFrequency (%)
SN 149871
 
10.8%
S/N 139085
 
10.0%
0 45541
 
3.3%
S/Nº 12956
 
0.9%
100 6319
 
0.5%
00 4845
 
0.3%
50 3868
 
0.3%
200 3828
 
0.3%
10 3687
 
0.3%
01 3374
 
0.2%
Other values (9625) 626052
45.2%
(Missing) 384911
27.8%

DS_COMPLEMENTO
Categorical

HIGH CARDINALITY  MISSING 

Distinct22310
Distinct (%)5.8%
Missing999011
Missing (%)72.2%
Memory size10.6 MiB
RUA
77754 
PREDIO
41259 
CASA
23159 
AVENIDA
20771 
ZONA RURAL
 
18487
Other values (22305)
203896 

Unique

Unique2780 ?
Unique (%)0.7%

Sample

1st rowALDEIA COLORADO
2nd rowALDEIA BARRANCO ALTO
3rd rowALDEIA CAJUI
4th rowALDEIA PALHAL
5th rowALDEIA SAO LUIZ

Common Values

ValueCountFrequency (%)
RUA 77754
 
5.6%
PREDIO 41259
 
3.0%
CASA 23159
 
1.7%
AVENIDA 20771
 
1.5%
ZONA RURAL 18487
 
1.3%
ESCOLA 15890
 
1.1%
PREDIO ESCOLAR 11628
 
0.8%
PRACA 3356
 
0.2%
CENTRO 2913
 
0.2%
ESTRADA 2125
 
0.2%
Other values (22300) 167984
 
12.1%
(Missing) 999011
72.2%

NO_BAIRRO
Categorical

HIGH CARDINALITY  MISSING 

Distinct38798
Distinct (%)3.6%
Missing291621
Missing (%)21.1%
Memory size10.6 MiB
CENTRO
197066 
ZONA RURAL
122607 
RURAL
 
12356
INTERIOR
 
8230
BELA VISTA
 
4041
Other values (38793)
748416 

Unique

Unique2671 ?
Unique (%)0.2%

Sample

1st rowRURAL
2nd rowCIDADE ALTA
3rd rowCENTRO
4th rowSANTA FELICIDADE
5th rowPRINCESA IZABEL

Common Values

ValueCountFrequency (%)
CENTRO 197066
 
14.2%
ZONA RURAL 122607
 
8.9%
RURAL 12356
 
0.9%
INTERIOR 8230
 
0.6%
BELA VISTA 4041
 
0.3%
SANTO ANTONIO 3962
 
0.3%
SAO JOSE 3365
 
0.2%
POVOADO 3146
 
0.2%
VILA NOVA 3064
 
0.2%
SAO FRANCISCO 3019
 
0.2%
Other values (38788) 731860
52.9%
(Missing) 291621
 
21.1%

CO_CEP
Categorical

Distinct167762
Distinct (%)12.1%
Missing0
Missing (%)0.0%
Memory size10.6 MiB
nan
 
6151
65940000.0
 
1417
68800000.0
 
1204
65400000.0
 
1160
47300000.0
 
1038
Other values (167757)
1373367 

Unique

Unique23385 ?
Unique (%)1.7%

Sample

1st row76954000.0
2nd row76954000.0
3rd row76954000.0
4th row76954000.0
5th row76954000.0

Common Values

ValueCountFrequency (%)
nan 6151
 
0.4%
65940000.0 1417
 
0.1%
68800000.0 1204
 
0.1%
65400000.0 1160
 
0.1%
47300000.0 1038
 
0.1%
69750000.0 1032
 
0.1%
68480000.0 992
 
0.1%
68400000.0 938
 
0.1%
65110000.0 928
 
0.1%
65950000.0 913
 
0.1%
Other values (167752) 1368564
98.9%

NU_DDD
Categorical

Distinct136
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size10.6 MiB
.
163364 
nan
 
67025
11
 
58700
21
 
30670
11.0
 
30554
Other values (131)
1034024 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row69
2nd row69
3rd row69
4th row69
5th row69

Common Values

ValueCountFrequency (%)
. 163364
 
11.8%
nan 67025
 
4.8%
11 58700
 
4.2%
21 30670
 
2.2%
11.0 30554
 
2.2%
81 27097
 
2.0%
75 25510
 
1.8%
98 25171
 
1.8%
88 25142
 
1.8%
83 20965
 
1.5%
Other values (126) 910139
65.7%

NU_TELEFONE
Categorical

Distinct304869
Distinct (%)22.0%
Missing0
Missing (%)0.0%
Memory size10.6 MiB
.
221031 
nan
 
90003
34711342
 
856
35363694
 
688
35342262
 
569
Other values (304864)
1071190 

Unique

Unique29081 ?
Unique (%)2.1%

Sample

1st row36413839
2nd row36412656
3rd row36413630
4th row36413630
5th row36413630

Common Values

ValueCountFrequency (%)
. 221031
 
16.0%
nan 90003
 
6.5%
34711342 856
 
0.1%
35363694 688
 
< 0.1%
35342262 569
 
< 0.1%
37851160 484
 
< 0.1%
33331195 481
 
< 0.1%
33971030 428
 
< 0.1%
34277351 425
 
< 0.1%
34711342.0 424
 
< 0.1%
Other values (304859) 1068948
77.2%

TP_SITUACAO_FUNCIONAMENTO
Categorical

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size10.6 MiB
Em Atividade
1101366 
Paralisada
248779 
Extinta (ano do censo)
 
34192

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowEm Atividade
2nd rowEm Atividade
3rd rowEm Atividade
4th rowParalisada
5th rowEm Atividade

Common Values

ValueCountFrequency (%)
Em Atividade 1101366
79.6%
Paralisada 248779
 
18.0%
Extinta (ano do censo) 34192
 
2.5%

Common Values (Plot)

2023-02-05T18:19:15.550729image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

CO_ORGAO_REGIONAL
Categorical

HIGH CARDINALITY  MISSING 

Distinct343
Distinct (%)< 0.1%
Missing37041
Missing (%)2.7%
Memory size10.6 MiB
00001
 
74853
00002
 
67665
00003
 
58353
00004
 
51243
00005
 
50778
Other values (338)
1044404 

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row00015
2nd row00015
3rd row00015
4th row00015
5th row00015

Common Values

ValueCountFrequency (%)
00001 74853
 
5.4%
00002 67665
 
4.9%
00003 58353
 
4.2%
00004 51243
 
3.7%
00005 50778
 
3.7%
00009 49360
 
3.6%
00006 48007
 
3.5%
00010 44827
 
3.2%
00008 41375
 
3.0%
00007 39870
 
2.9%
Other values (333) 820965
59.3%

DT_ANO_LETIVO_INICIO
Date

Distinct1431
Distinct (%)0.1%
Missing282971
Missing (%)20.4%
Memory size10.6 MiB
Minimum2015-01-01 00:00:00
Maximum2021-10-06 00:00:00
2023-02-05T18:19:15.661894image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-05T18:19:15.781286image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

DT_ANO_LETIVO_TERMINO
Date

Distinct1772
Distinct (%)0.2%
Missing282971
Missing (%)20.4%
Memory size10.6 MiB
Minimum2016-05-25 00:00:00
Maximum2022-05-25 00:00:00
2023-02-05T18:19:15.905905image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-05T18:19:16.035404image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

IN_VINCULO_SECRETARIA_EDUCACAO
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.3 MiB
True
1383281 
False
 
1056
ValueCountFrequency (%)
True 1383281
99.9%
False 1056
 
0.1%
2023-02-05T18:19:16.162563image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

IN_VINCULO_SEGURANCA_PUBLICA
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.3 MiB
True
966349 
False
417988 
ValueCountFrequency (%)
True 966349
69.8%
False 417988
30.2%
2023-02-05T18:19:16.253888image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

IN_VINCULO_SECRETARIA_SAUDE
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.3 MiB
True
965832 
False
418505 
ValueCountFrequency (%)
True 965832
69.8%
False 418505
30.2%
2023-02-05T18:19:16.344811image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

IN_VINCULO_OUTRO_ORGAO
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.3 MiB
True
966881 
False
417456 
ValueCountFrequency (%)
True 966881
69.8%
False 417456
30.2%
2023-02-05T18:19:16.439255image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

IN_CONVENIADA_PP
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.3 MiB
True
1190290 
False
194047 
ValueCountFrequency (%)
True 1190290
86.0%
False 194047
 
14.0%
2023-02-05T18:19:16.533882image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

TP_CONVENIO_PODER_PUBLICO
Categorical

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size10.6 MiB
1330317 
Municipal
 
39865
Estadual e Municipal
 
8074
Estadual
 
6081

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row
2nd row
3rd row
4th row
5th row

Common Values

ValueCountFrequency (%)
1330317
96.1%
Municipal 39865
 
2.9%
Estadual e Municipal 8074
 
0.6%
Estadual 6081
 
0.4%

Common Values (Plot)

2023-02-05T18:19:16.629974image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

IN_MANT_ESCOLA_PRIVADA_EMP
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.3 MiB
True
1310091 
False
 
74246
ValueCountFrequency (%)
True 1310091
94.6%
False 74246
 
5.4%
2023-02-05T18:19:16.727775image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

IN_MANT_ESCOLA_PRIVADA_ONG
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.3 MiB
True
1260610 
False
 
123727
ValueCountFrequency (%)
True 1260610
91.1%
False 123727
 
8.9%
2023-02-05T18:19:16.817499image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

IN_MANT_ESCOLA_PRIVADA_OSCIP
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.3 MiB
True
1259748 
False
 
124589
ValueCountFrequency (%)
True 1259748
91.0%
False 124589
 
9.0%
2023-02-05T18:19:16.911694image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

IN_MANT_ESCOLA_PRIV_ONG_OSCIP
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.3 MiB
True
1148287 
False
236050 
ValueCountFrequency (%)
True 1148287
82.9%
False 236050
 
17.1%
2023-02-05T18:19:17.005748image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

IN_MANT_ESCOLA_PRIVADA_SIND
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.3 MiB
True
1151852 
False
232485 
ValueCountFrequency (%)
True 1151852
83.2%
False 232485
 
16.8%
2023-02-05T18:19:17.096773image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

IN_MANT_ESCOLA_PRIVADA_SIST_S
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.3 MiB
True
1149184 
False
235153 
ValueCountFrequency (%)
True 1149184
83.0%
False 235153
 
17.0%
2023-02-05T18:19:17.191598image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

IN_MANT_ESCOLA_PRIVADA_S_FINS
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.3 MiB
True
1203196 
False
181141 
ValueCountFrequency (%)
True 1203196
86.9%
False 181141
 
13.1%
2023-02-05T18:19:17.283839image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

NU_CNPJ_ESCOLA_PRIVADA
Categorical

HIGH CARDINALITY  IMBALANCE 

Distinct50785
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Memory size10.6 MiB
nan
1103026 
99999999999999.0
 
36359
64033061000138.0
 
142
60915790000167.0
 
120
57522468000163.0
 
88
Other values (50780)
244602 

Unique

Unique4947 ?
Unique (%)0.4%

Sample

1st rownan
2nd rownan
3rd rownan
4th rownan
5th rownan

Common Values

ValueCountFrequency (%)
nan 1103026
79.7%
99999999999999.0 36359
 
2.6%
64033061000138.0 142
 
< 0.1%
60915790000167.0 120
 
< 0.1%
57522468000163.0 88
 
< 0.1%
62264494000179.0 87
 
< 0.1%
55050546000149.0 80
 
< 0.1%
60975737000151.0 78
 
< 0.1%
38883732000140.0 62
 
< 0.1%
62851811000153.0 59
 
< 0.1%
Other values (50775) 244236
 
17.6%

NU_CNPJ_MANTENEDORA
Categorical

HIGH CARDINALITY  IMBALANCE 

Distinct46225
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size10.6 MiB
nan
1103026 
99999999999999.0
 
51764
3779133000104.0
 
490
33621384000119.0
 
478
3774688000155.0
 
303
Other values (46220)
228276 

Unique

Unique4660 ?
Unique (%)0.3%

Sample

1st rownan
2nd rownan
3rd rownan
4th rownan
5th rownan

Common Values

ValueCountFrequency (%)
nan 1103026
79.7%
99999999999999.0 51764
 
3.7%
3779133000104.0 490
 
< 0.1%
33621384000119.0 478
 
< 0.1%
3774688000155.0 303
 
< 0.1%
3773700000107.0 275
 
< 0.1%
60701521000106.0 231
 
< 0.1%
11470259000112.0 194
 
< 0.1%
76497338000162.0 188
 
< 0.1%
75565572000117.0 187
 
< 0.1%
Other values (46215) 227201
 
16.4%

TP_REGULAMENTACAO
Categorical

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size10.6 MiB
Sim
942280 
282971 
Em tramitação
115412 
Não
 
43674

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowEm tramitação
2nd rowEm tramitação
3rd rowSim
4th row
5th rowSim

Common Values

ValueCountFrequency (%)
Sim 942280
68.1%
282971
 
20.4%
Em tramitação 115412
 
8.3%
Não 43674
 
3.2%

Common Values (Plot)

2023-02-05T18:19:17.496924image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

TP_RESPONSAVEL_REGULAMENTACAO
Categorical

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size10.6 MiB
871112 
Municipal
289712 
Estadual
203637 
Estadual e Municipal
 
15004
Federal
 
4127

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row
2nd row
3rd row
4th row
5th row

Common Values

ValueCountFrequency (%)
871112
62.9%
Municipal 289712
 
20.9%
Estadual 203637
 
14.7%
Estadual e Municipal 15004
 
1.1%
Federal 4127
 
0.3%
Federal e Estadual 745
 
0.1%

Common Values (Plot)

2023-02-05T18:19:17.610884image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

CO_ESCOLA_SEDE_VINCULADA
Categorical

HIGH CARDINALITY  IMBALANCE 

Distinct1794
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size10.6 MiB
nan
1368215 
15024830.0
 
173
15024822.0
 
114
15542947.0
 
114
15066363.0
 
109
Other values (1789)
 
15612

Unique

Unique237 ?
Unique (%)< 0.1%

Sample

1st rownan
2nd rownan
3rd rownan
4th rownan
5th rownan

Common Values

ValueCountFrequency (%)
nan 1368215
98.8%
15024830.0 173
 
< 0.1%
15024822.0 114
 
< 0.1%
15542947.0 114
 
< 0.1%
15066363.0 109
 
< 0.1%
15573834.0 98
 
< 0.1%
15561607.0 96
 
< 0.1%
15020010.0 95
 
< 0.1%
15575462.0 89
 
< 0.1%
15110079.0 87
 
< 0.1%
Other values (1784) 15147
 
1.1%

CO_IES_OFERTANTE
Categorical

HIGH CARDINALITY  IMBALANCE 

Distinct344
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size10.6 MiB
nan
1381761 
1810.0
 
140
1813.0
 
100
1807.0
 
96
1808.0
 
73
Other values (339)
 
2167

Unique

Unique99 ?
Unique (%)< 0.1%

Sample

1st rownan
2nd rownan
3rd rownan
4th rownan
5th rownan

Common Values

ValueCountFrequency (%)
nan 1381761
99.8%
1810.0 140
 
< 0.1%
1813.0 100
 
< 0.1%
1807.0 96
 
< 0.1%
1808.0 73
 
< 0.1%
1082.0 70
 
< 0.1%
3162.0 67
 
< 0.1%
1820.0 60
 
< 0.1%
14408.0 54
 
< 0.1%
5036.0 52
 
< 0.1%
Other values (334) 1864
 
0.1%

IN_LOCAL_FUNC_PREDIO_ESCOLAR
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.3 MiB
True
1345704 
False
 
38633
ValueCountFrequency (%)
True 1345704
97.2%
False 38633
 
2.8%
2023-02-05T18:19:17.723973image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

TP_OCUPACAO_PREDIO_ESCOLAR
Categorical

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size10.6 MiB
Próprio
882268 
321604 
Alugado
113895 
Cedido
 
66570

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowPróprio
2nd rowPróprio
3rd rowPróprio
4th row
5th rowPróprio

Common Values

ValueCountFrequency (%)
Próprio 882268
63.7%
321604
 
23.2%
Alugado 113895
 
8.2%
Cedido 66570
 
4.8%

Common Values (Plot)

2023-02-05T18:19:17.817513image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

IN_LOCAL_FUNC_SALAS_EMPRESA
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.3 MiB
True
827546 
False
556791 
ValueCountFrequency (%)
True 827546
59.8%
False 556791
40.2%
2023-02-05T18:19:17.916683image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

IN_LOCAL_FUNC_SOCIOEDUCATIVO
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.3 MiB
False
1099859 
True
284478 
ValueCountFrequency (%)
False 1099859
79.5%
True 284478
 
20.5%
2023-02-05T18:19:18.009804image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

IN_LOCAL_FUNC_UNID_PRISIONAL
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.3 MiB
False
1098008 
True
286329 
ValueCountFrequency (%)
False 1098008
79.3%
True 286329
 
20.7%
2023-02-05T18:19:18.103136image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

IN_LOCAL_FUNC_PRISIONAL_SOCIO
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.3 MiB
False
1096644 
True
287693 
ValueCountFrequency (%)
False 1096644
79.2%
True 287693
 
20.8%
2023-02-05T18:19:18.195238image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

IN_LOCAL_FUNC_TEMPLO_IGREJA
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.3 MiB
True
829869 
False
554468 
ValueCountFrequency (%)
True 829869
59.9%
False 554468
40.1%
2023-02-05T18:19:18.288973image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

IN_LOCAL_FUNC_CASA_PROFESSOR
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.3 MiB
True
829364 
False
554973 
ValueCountFrequency (%)
True 829364
59.9%
False 554973
40.1%
2023-02-05T18:19:18.383161image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

IN_LOCAL_FUNC_GALPAO
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.3 MiB
False
1082658 
True
301679 
ValueCountFrequency (%)
False 1082658
78.2%
True 301679
 
21.8%
2023-02-05T18:19:18.476002image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

TP_OCUPACAO_GALPAO
Categorical

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size10.6 MiB
1367848 
Próprio
 
8508
Cedido
 
6067
Alugado
 
1914

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row
2nd row
3rd row
4th row
5th row

Common Values

ValueCountFrequency (%)
1367848
98.8%
Próprio 8508
 
0.6%
Cedido 6067
 
0.4%
Alugado 1914
 
0.1%

Common Values (Plot)

2023-02-05T18:19:18.572887image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

IN_LOCAL_FUNC_SALAS_OUTRA_ESC
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.3 MiB
False
1070107 
True
314230 
ValueCountFrequency (%)
False 1070107
77.3%
True 314230
 
22.7%
2023-02-05T18:19:18.668445image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

IN_LOCAL_FUNC_OUTROS
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.3 MiB
False
1025630 
True
358707 
ValueCountFrequency (%)
False 1025630
74.1%
True 358707
 
25.9%
2023-02-05T18:19:18.762811image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

IN_PREDIO_COMPARTILHADO
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.3 MiB
False
1010529 
True
373808 
ValueCountFrequency (%)
False 1010529
73.0%
True 373808
 
27.0%
2023-02-05T18:19:18.856149image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

IN_AGUA_FILTRADA
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.3 MiB
True
1311512 
False
 
72825
ValueCountFrequency (%)
True 1311512
94.7%
False 72825
 
5.3%
2023-02-05T18:19:18.948247image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

IN_AGUA_POTAVEL
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.3 MiB
True
1354538 
False
 
29799
ValueCountFrequency (%)
True 1354538
97.8%
False 29799
 
2.2%
2023-02-05T18:19:19.039272image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

IN_AGUA_REDE_PUBLICA
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.3 MiB
True
1101702 
False
282635 
ValueCountFrequency (%)
True 1101702
79.6%
False 282635
 
20.4%
2023-02-05T18:19:19.130770image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

IN_AGUA_POCO_ARTESIANO
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.3 MiB
False
934593 
True
449744 
ValueCountFrequency (%)
False 934593
67.5%
True 449744
32.5%
2023-02-05T18:19:19.223151image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

IN_AGUA_CACIMBA
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.3 MiB
False
998721 
True
385616 
ValueCountFrequency (%)
False 998721
72.1%
True 385616
 
27.9%
2023-02-05T18:19:19.314348image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

IN_AGUA_FONTE_RIO
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.3 MiB
False
1052922 
True
331415 
ValueCountFrequency (%)
False 1052922
76.1%
True 331415
 
23.9%
2023-02-05T18:19:19.408598image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

IN_AGUA_INEXISTENTE
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.3 MiB
False
1072758 
True
311579 
ValueCountFrequency (%)
False 1072758
77.5%
True 311579
 
22.5%
2023-02-05T18:19:19.501392image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

IN_ENERGIA_REDE_PUBLICA
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.3 MiB
True
1341240 
False
 
43097
ValueCountFrequency (%)
True 1341240
96.9%
False 43097
 
3.1%
2023-02-05T18:19:19.594173image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

IN_ENERGIA_GERADOR
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.3 MiB
True
835490 
False
548847 
ValueCountFrequency (%)
True 835490
60.4%
False 548847
39.6%
2023-02-05T18:19:19.683176image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

IN_ENERGIA_GERADOR_FOSSIL
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.3 MiB
True
846271 
False
538066 
ValueCountFrequency (%)
True 846271
61.1%
False 538066
38.9%
2023-02-05T18:19:19.778312image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

IN_ENERGIA_OUTROS
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.3 MiB
True
830010 
False
554327 
ValueCountFrequency (%)
True 830010
60.0%
False 554327
40.0%
2023-02-05T18:19:19.869636image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

IN_ENERGIA_RENOVAVEL
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.3 MiB
True
845297 
False
539040 
ValueCountFrequency (%)
True 845297
61.1%
False 539040
38.9%
2023-02-05T18:19:19.961606image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

IN_ENERGIA_INEXISTENTE
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.3 MiB
False
1075063 
True
309274 
ValueCountFrequency (%)
False 1075063
77.7%
True 309274
 
22.3%
2023-02-05T18:19:20.056627image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

IN_ESGOTO_REDE_PUBLICA
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.3 MiB
True
870170 
False
514167 
ValueCountFrequency (%)
True 870170
62.9%
False 514167
37.1%
2023-02-05T18:19:20.150769image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

IN_ESGOTO_FOSSA_SEPTICA
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.3 MiB
True
962007 
False
422330 
ValueCountFrequency (%)
True 962007
69.5%
False 422330
30.5%
2023-02-05T18:19:20.245228image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

IN_ESGOTO_FOSSA_COMUM
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.3 MiB
True
936106 
False
448231 
ValueCountFrequency (%)
True 936106
67.6%
False 448231
32.4%
2023-02-05T18:19:20.337019image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

IN_ESGOTO_FOSSA
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.3 MiB
True
764273 
False
620064 
ValueCountFrequency (%)
True 764273
55.2%
False 620064
44.8%
2023-02-05T18:19:20.430095image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

IN_ESGOTO_INEXISTENTE
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.3 MiB
False
1050052 
True
334285 
ValueCountFrequency (%)
False 1050052
75.9%
True 334285
 
24.1%
2023-02-05T18:19:20.522790image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

IN_LIXO_SERVICO_COLETA
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.3 MiB
True
1136520 
False
247817 
ValueCountFrequency (%)
True 1136520
82.1%
False 247817
 
17.9%
2023-02-05T18:19:20.617053image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

IN_LIXO_QUEIMA
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.3 MiB
False
880160 
True
504177 
ValueCountFrequency (%)
False 880160
63.6%
True 504177
36.4%
2023-02-05T18:19:20.711314image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

IN_LIXO_ENTERRA
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.3 MiB
False
1077972 
True
306365 
ValueCountFrequency (%)
False 1077972
77.9%
True 306365
 
22.1%
2023-02-05T18:19:20.808002image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

IN_LIXO_DESTINO_FINAL_PUBLICO
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.3 MiB
True
870523 
False
513814 
ValueCountFrequency (%)
True 870523
62.9%
False 513814
37.1%
2023-02-05T18:19:20.902288image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

IN_LIXO_DESCARTA_OUTRA_AREA
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.3 MiB
True
856132 
False
528205 
ValueCountFrequency (%)
True 856132
61.8%
False 528205
38.2%
2023-02-05T18:19:21.000927image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

IN_LIXO_JOGA_OUTRA_AREA
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.3 MiB
True
844627 
False
539710 
ValueCountFrequency (%)
True 844627
61.0%
False 539710
39.0%
2023-02-05T18:19:21.099264image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

IN_LIXO_OUTROS
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.3 MiB
True
834916 
False
549421 
ValueCountFrequency (%)
True 834916
60.3%
False 549421
39.7%
2023-02-05T18:19:21.191891image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

IN_LIXO_RECICLA
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.3 MiB
True
864583 
False
519754 
ValueCountFrequency (%)
True 864583
62.5%
False 519754
37.5%
2023-02-05T18:19:21.283803image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

IN_TRATAMENTO_LIXO_SEPARACAO
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.3 MiB
True
999349 
False
384988 
ValueCountFrequency (%)
True 999349
72.2%
False 384988
 
27.8%
2023-02-05T18:19:21.379434image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

IN_TRATAMENTO_LIXO_REUTILIZA
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.3 MiB
True
858281 
False
526056 
ValueCountFrequency (%)
True 858281
62.0%
False 526056
38.0%
2023-02-05T18:19:21.473401image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

IN_TRATAMENTO_LIXO_RECICLAGEM
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.3 MiB
True
887895 
False
496442 
ValueCountFrequency (%)
True 887895
64.1%
False 496442
35.9%
2023-02-05T18:19:21.565937image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

IN_TRATAMENTO_LIXO_INEXISTENTE
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.3 MiB
True
1194350 
False
189987 
ValueCountFrequency (%)
True 1194350
86.3%
False 189987
 
13.7%
2023-02-05T18:19:21.658254image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

IN_ALMOXARIFADO
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.3 MiB
True
772956 
False
611381 
ValueCountFrequency (%)
True 772956
55.8%
False 611381
44.2%
2023-02-05T18:19:21.752608image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

IN_AREA_VERDE
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.3 MiB
False
760825 
True
623512 
ValueCountFrequency (%)
False 760825
55.0%
True 623512
45.0%
2023-02-05T18:19:21.958441image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

IN_AUDITORIO
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.3 MiB
False
979512 
True
404825 
ValueCountFrequency (%)
False 979512
70.8%
True 404825
29.2%
2023-02-05T18:19:22.052221image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

IN_BANHEIRO_FORA_PREDIO
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.3 MiB
True
918037 
False
466300 
ValueCountFrequency (%)
True 918037
66.3%
False 466300
33.7%
2023-02-05T18:19:22.144696image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

IN_BANHEIRO_DENTRO_PREDIO
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.3 MiB
True
1308126 
False
 
76211
ValueCountFrequency (%)
True 1308126
94.5%
False 76211
 
5.5%
2023-02-05T18:19:22.238130image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

IN_BANHEIRO
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.3 MiB
True
1366298 
False
 
18039
ValueCountFrequency (%)
True 1366298
98.7%
False 18039
 
1.3%
2023-02-05T18:19:22.327431image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

IN_BANHEIRO_EI
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.3 MiB
False
717560 
True
666777 
ValueCountFrequency (%)
False 717560
51.8%
True 666777
48.2%
2023-02-05T18:19:22.417074image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

IN_BANHEIRO_PNE
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.3 MiB
True
753975 
False
630362 
ValueCountFrequency (%)
True 753975
54.5%
False 630362
45.5%
2023-02-05T18:19:22.511501image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

IN_BANHEIRO_FUNCIONARIOS
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.3 MiB
True
1103014 
False
281323 
ValueCountFrequency (%)
True 1103014
79.7%
False 281323
 
20.3%
2023-02-05T18:19:22.604255image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

IN_BANHEIRO_CHUVEIRO
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.3 MiB
True
780167 
False
604170 
ValueCountFrequency (%)
True 780167
56.4%
False 604170
43.6%
2023-02-05T18:19:22.699545image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

IN_BERCARIO
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.3 MiB
True
896815 
False
487522 
ValueCountFrequency (%)
True 896815
64.8%
False 487522
35.2%
2023-02-05T18:19:22.791522image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

IN_BIBLIOTECA
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.3 MiB
False
697275 
True
687062 
ValueCountFrequency (%)
False 697275
50.4%
True 687062
49.6%
2023-02-05T18:19:22.884127image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

IN_BIBLIOTECA_SALA_LEITURA
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.3 MiB
True
849247 
False
535090 
ValueCountFrequency (%)
True 849247
61.3%
False 535090
38.7%
2023-02-05T18:19:22.974204image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

IN_COZINHA
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.3 MiB
True
1291047 
False
 
93290
ValueCountFrequency (%)
True 1291047
93.3%
False 93290
 
6.7%
2023-02-05T18:19:23.068265image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

IN_DESPENSA
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.3 MiB
True
939792 
False
444545 
ValueCountFrequency (%)
True 939792
67.9%
False 444545
32.1%
2023-02-05T18:19:23.161337image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

IN_DORMITORIO_ALUNO
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.3 MiB
False
1083383 
True
300954 
ValueCountFrequency (%)
False 1083383
78.3%
True 300954
 
21.7%
2023-02-05T18:19:23.253153image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

IN_DORMITORIO_PROFESSOR
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.3 MiB
False
1086304 
True
298033 
ValueCountFrequency (%)
False 1086304
78.5%
True 298033
 
21.5%
2023-02-05T18:19:23.347027image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

IN_LABORATORIO_CIENCIAS
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.3 MiB
False
974652 
True
409685 
ValueCountFrequency (%)
False 974652
70.4%
True 409685
29.6%
2023-02-05T18:19:23.439280image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

IN_LABORATORIO_INFORMATICA
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.3 MiB
True
692569 
False
691768 
ValueCountFrequency (%)
True 692569
50.0%
False 691768
50.0%
2023-02-05T18:19:23.530903image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

IN_PATIO_COBERTO
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.3 MiB
True
845513 
False
538824 
ValueCountFrequency (%)
True 845513
61.1%
False 538824
38.9%
2023-02-05T18:19:23.623209image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

IN_PATIO_DESCOBERTO
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.3 MiB
True
775326 
False
609011 
ValueCountFrequency (%)
True 775326
56.0%
False 609011
44.0%
2023-02-05T18:19:23.717590image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

IN_PARQUE_INFANTIL
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.3 MiB
False
738482 
True
645855 
ValueCountFrequency (%)
False 738482
53.3%
True 645855
46.7%
2023-02-05T18:19:23.809873image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

IN_PISCINA
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.3 MiB
True
853599 
False
530738 
ValueCountFrequency (%)
True 853599
61.7%
False 530738
38.3%
2023-02-05T18:19:23.901914image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

IN_QUADRA_ESPORTES
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.3 MiB
False
709649 
True
674688 
ValueCountFrequency (%)
False 709649
51.3%
True 674688
48.7%
2023-02-05T18:19:23.996737image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

IN_QUADRA_ESPORTES_COBERTA
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.3 MiB
False
830125 
True
554212 
ValueCountFrequency (%)
False 830125
60.0%
True 554212
40.0%
2023-02-05T18:19:24.090684image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

IN_QUADRA_ESPORTES_DESCOBERTA
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.3 MiB
False
930465 
True
453872 
ValueCountFrequency (%)
False 930465
67.2%
True 453872
32.8%
2023-02-05T18:19:24.183349image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

IN_REFEITORIO
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.3 MiB
True
780285 
False
604052 
ValueCountFrequency (%)
True 780285
56.4%
False 604052
43.6%
2023-02-05T18:19:24.277138image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

IN_SALA_ATELIE_ARTES
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.3 MiB
True
863597 
False
520740 
ValueCountFrequency (%)
True 863597
62.4%
False 520740
37.6%
2023-02-05T18:19:24.370087image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

IN_SALA_MUSICA_CORAL
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.3 MiB
True
851261 
False
533076 
ValueCountFrequency (%)
True 851261
61.5%
False 533076
38.5%
2023-02-05T18:19:24.461864image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

IN_SALA_ESTUDIO_DANCA
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.3 MiB
True
848320 
False
536017 
ValueCountFrequency (%)
True 848320
61.3%
False 536017
38.7%
2023-02-05T18:19:24.553192image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

IN_SALA_MULTIUSO
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.3 MiB
True
881821 
False
502516 
ValueCountFrequency (%)
True 881821
63.7%
False 502516
36.3%
2023-02-05T18:19:24.651054image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

IN_SALA_DIRETORIA
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.3 MiB
True
1053815 
False
330522 
ValueCountFrequency (%)
True 1053815
76.1%
False 330522
 
23.9%
2023-02-05T18:19:24.743965image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

IN_SALA_LEITURA
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.3 MiB
False
822109 
True
562228 
ValueCountFrequency (%)
False 822109
59.4%
True 562228
40.6%
2023-02-05T18:19:24.837380image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

IN_SALA_PROFESSOR
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.3 MiB
True
943379 
False
440958 
ValueCountFrequency (%)
True 943379
68.1%
False 440958
31.9%
2023-02-05T18:19:24.929183image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

IN_SALA_REPOUSO_ALUNO
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.3 MiB
True
861091 
False
523246 
ValueCountFrequency (%)
True 861091
62.2%
False 523246
37.8%
2023-02-05T18:19:25.021673image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

IN_SECRETARIA
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.3 MiB
True
1031024 
False
353313 
ValueCountFrequency (%)
True 1031024
74.5%
False 353313
 
25.5%
2023-02-05T18:19:25.114340image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

IN_SALA_ATENDIMENTO_ESPECIAL
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.3 MiB
False
887582 
True
496755 
ValueCountFrequency (%)
False 887582
64.1%
True 496755
35.9%
2023-02-05T18:19:25.207227image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

IN_TERREIRAO
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.3 MiB
True
886415 
False
497922 
ValueCountFrequency (%)
True 886415
64.0%
False 497922
36.0%
2023-02-05T18:19:25.301857image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

IN_VIVEIRO
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.3 MiB
True
844956 
False
539381 
ValueCountFrequency (%)
True 844956
61.0%
False 539381
39.0%
2023-02-05T18:19:25.394140image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

IN_DEPENDENCIAS_PNE
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.3 MiB
True
991639 
False
392698 
ValueCountFrequency (%)
True 991639
71.6%
False 392698
 
28.4%
2023-02-05T18:19:25.487862image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

IN_LAVANDERIA
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.3 MiB
True
939087 
False
445250 
ValueCountFrequency (%)
True 939087
67.8%
False 445250
32.2%
2023-02-05T18:19:25.582791image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

IN_DEPENDENCIAS_OUTRAS
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.3 MiB
False
1086406 
True
297931 
ValueCountFrequency (%)
False 1086406
78.5%
True 297931
 
21.5%
2023-02-05T18:19:25.677902image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

IN_ACESSIBILIDADE_CORRIMAO
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.3 MiB
True
977315 
False
407022 
ValueCountFrequency (%)
True 977315
70.6%
False 407022
29.4%
2023-02-05T18:19:25.771980image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

IN_ACESSIBILIDADE_ELEVADOR
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.3 MiB
True
860773 
False
523564 
ValueCountFrequency (%)
True 860773
62.2%
False 523564
37.8%
2023-02-05T18:19:25.863754image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

IN_ACESSIBILIDADE_PISOS_TATEIS
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.3 MiB
True
883646 
False
500691 
ValueCountFrequency (%)
True 883646
63.8%
False 500691
36.2%
2023-02-05T18:19:25.955894image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

IN_ACESSIBILIDADE_VAO_LIVRE
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.3 MiB
True
1005389 
False
378948 
ValueCountFrequency (%)
True 1005389
72.6%
False 378948
 
27.4%
2023-02-05T18:19:26.051577image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

IN_ACESSIBILIDADE_RAMPAS
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.3 MiB
True
1099163 
False
285174 
ValueCountFrequency (%)
True 1099163
79.4%
False 285174
 
20.6%
2023-02-05T18:19:26.256470image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

IN_ACESSIBILIDADE_SINAL_SONORO
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.3 MiB
True
850271 
False
534066 
ValueCountFrequency (%)
True 850271
61.4%
False 534066
38.6%
2023-02-05T18:19:26.348504image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

IN_ACESSIBILIDADE_SINAL_TATIL
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.3 MiB
True
857131 
False
527206 
ValueCountFrequency (%)
True 857131
61.9%
False 527206
38.1%
2023-02-05T18:19:26.441197image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

IN_ACESSIBILIDADE_SINAL_VISUAL
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.3 MiB
True
877982 
False
506355 
ValueCountFrequency (%)
True 877982
63.4%
False 506355
36.6%
2023-02-05T18:19:26.534247image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

IN_ACESSIBILIDADE_INEXISTENTE
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.3 MiB
True
1056927 
False
327410 
ValueCountFrequency (%)
True 1056927
76.3%
False 327410
 
23.7%
2023-02-05T18:19:26.625848image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

QT_SALAS_EXISTENTES
Real number (ℝ)

MISSING  SKEWED 

Distinct195
Distinct (%)< 0.1%
Missing828667
Missing (%)59.9%
Infinite0
Infinite (%)0.0%
Mean8.216427016
Minimum0
Maximum2810
Zeros1283
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size10.6 MiB
2023-02-05T18:19:26.727058image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q14
median6
Q311
95-th percentile20
Maximum2810
Range2810
Interquartile range (IQR)7

Descriptive statistics

Standard deviation10.67098744
Coefficient of variation (CV)1.298738177
Kurtosis20398.12458
Mean8.216427016
Median Absolute Deviation (MAD)3
Skewness95.75849566
Sum4565622
Variance113.869973
MonotonicityNot monotonic
2023-02-05T18:19:26.842903image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2 50829
 
3.7%
4 49793
 
3.6%
6 47577
 
3.4%
1 47162
 
3.4%
5 45828
 
3.3%
8 39957
 
2.9%
7 36941
 
2.7%
3 35615
 
2.6%
10 30544
 
2.2%
9 28486
 
2.1%
Other values (185) 142938
 
10.3%
(Missing) 828667
59.9%
ValueCountFrequency (%)
0 1283
 
0.1%
1 47162
3.4%
2 50829
3.7%
3 35615
2.6%
4 49793
3.6%
ValueCountFrequency (%)
2810 1
< 0.1%
2504 1
< 0.1%
2121 1
< 0.1%
2113 1
< 0.1%
1291 1
< 0.1%

QT_SALAS_UTILIZADAS_DENTRO
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct174
Distinct (%)< 0.1%
Missing840533
Missing (%)60.7%
Infinite0
Infinite (%)0.0%
Mean7.977410979
Minimum0
Maximum8888
Zeros14419
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size10.6 MiB
2023-02-05T18:19:26.974475image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q14
median7
Q310
95-th percentile19
Maximum8888
Range8888
Interquartile range (IQR)6

Descriptive statistics

Standard deviation16.1245754
Coefficient of variation (CV)2.021279265
Kurtosis180155.2259
Mean7.977410979
Median Absolute Deviation (MAD)3
Skewness352.9956715
Sum4338148
Variance260.0019318
MonotonicityNot monotonic
2023-02-05T18:19:27.094715image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6 49218
 
3.6%
4 48136
 
3.5%
5 47377
 
3.4%
2 42847
 
3.1%
8 40409
 
2.9%
7 38574
 
2.8%
1 36147
 
2.6%
3 32928
 
2.4%
9 30665
 
2.2%
10 30288
 
2.2%
Other values (164) 147215
 
10.6%
(Missing) 840533
60.7%
ValueCountFrequency (%)
0 14419
 
1.0%
1 36147
2.6%
2 42847
3.1%
3 32928
2.4%
4 48136
3.5%
ValueCountFrequency (%)
8888 1
< 0.1%
4445 1
< 0.1%
1421 1
< 0.1%
1311 1
< 0.1%
1212 1
< 0.1%

QT_SALAS_UTILIZADAS_FORA
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct105
Distinct (%)< 0.1%
Missing840533
Missing (%)60.7%
Infinite0
Infinite (%)0.0%
Mean0.5025707792
Minimum0
Maximum9999
Zeros483413
Zeros (%)34.9%
Negative0
Negative (%)0.0%
Memory size10.6 MiB
2023-02-05T18:19:27.220950image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile3
Maximum9999
Range9999
Interquartile range (IQR)0

Descriptive statistics

Standard deviation13.88098054
Coefficient of variation (CV)27.61995149
Kurtosis495098.8741
Mean0.5025707792
Median Absolute Deviation (MAD)0
Skewness688.4409599
Sum273300
Variance192.6816207
MonotonicityNot monotonic
2023-02-05T18:19:27.347706image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 483413
34.9%
1 18663
 
1.3%
2 10809
 
0.8%
3 6932
 
0.5%
4 5727
 
0.4%
5 3980
 
0.3%
6 3361
 
0.2%
7 1994
 
0.1%
8 1878
 
0.1%
9 1268
 
0.1%
Other values (95) 5779
 
0.4%
(Missing) 840533
60.7%
ValueCountFrequency (%)
0 483413
34.9%
1 18663
 
1.3%
2 10809
 
0.8%
3 6932
 
0.5%
4 5727
 
0.4%
ValueCountFrequency (%)
9999 1
< 0.1%
1111 1
< 0.1%
605 1
< 0.1%
333 1
< 0.1%
234 1
< 0.1%

QT_SALAS_UTILIZADAS
Real number (ℝ)

MISSING  SKEWED 

Distinct211
Distinct (%)< 0.1%
Missing282971
Missing (%)20.4%
Infinite0
Infinite (%)0.0%
Mean8.101051785
Minimum1
Maximum9999
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.6 MiB
2023-02-05T18:19:27.478586image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q14
median6
Q310
95-th percentile20
Maximum9999
Range9998
Interquartile range (IQR)6

Descriptive statistics

Standard deviation16.0712037
Coefficient of variation (CV)1.983841621
Kurtosis226353.9807
Mean8.101051785
Median Absolute Deviation (MAD)3
Skewness399.1170497
Sum8922223
Variance258.2835885
MonotonicityNot monotonic
2023-02-05T18:19:27.605685image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4 99171
 
7.2%
6 96881
 
7.0%
1 95978
 
6.9%
5 94947
 
6.9%
2 92643
 
6.7%
8 80070
 
5.8%
7 76991
 
5.6%
3 72212
 
5.2%
9 59964
 
4.3%
10 59113
 
4.3%
Other values (201) 273396
19.7%
(Missing) 282971
20.4%
ValueCountFrequency (%)
1 95978
6.9%
2 92643
6.7%
3 72212
5.2%
4 99171
7.2%
5 94947
6.9%
ValueCountFrequency (%)
9999 1
< 0.1%
8888 1
< 0.1%
4445 1
< 0.1%
2504 1
< 0.1%
1421 1
< 0.1%

QT_SALAS_UTILIZA_CLIMATIZADAS
Real number (ℝ)

MISSING  ZEROS 

Distinct112
Distinct (%)< 0.1%
Missing840533
Missing (%)60.7%
Infinite0
Infinite (%)0.0%
Mean2.530100919
Minimum0
Maximum287
Zeros371702
Zeros (%)26.9%
Negative0
Negative (%)0.0%
Memory size10.6 MiB
2023-02-05T18:19:27.731928image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q33
95-th percentile13
Maximum287
Range287
Interquartile range (IQR)3

Descriptive statistics

Standard deviation5.49798144
Coefficient of variation (CV)2.173028514
Kurtosis52.62828077
Mean2.530100919
Median Absolute Deviation (MAD)0
Skewness4.63087032
Sum1375879
Variance30.22779992
MonotonicityNot monotonic
2023-02-05T18:19:27.853730image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 371702
26.9%
1 16905
 
1.2%
4 15546
 
1.1%
6 15094
 
1.1%
5 15056
 
1.1%
2 13369
 
1.0%
8 12256
 
0.9%
3 11952
 
0.9%
7 11670
 
0.8%
10 9513
 
0.7%
Other values (102) 50741
 
3.7%
(Missing) 840533
60.7%
ValueCountFrequency (%)
0 371702
26.9%
1 16905
 
1.2%
2 13369
 
1.0%
3 11952
 
0.9%
4 15546
 
1.1%
ValueCountFrequency (%)
287 1
 
< 0.1%
162 3
< 0.1%
148 1
 
< 0.1%
134 1
 
< 0.1%
128 3
< 0.1%

QT_SALAS_UTILIZADAS_ACESSIVEIS
Real number (ℝ)

MISSING  ZEROS 

Distinct103
Distinct (%)< 0.1%
Missing840533
Missing (%)60.7%
Infinite0
Infinite (%)0.0%
Mean1.932359821
Minimum0
Maximum518
Zeros403979
Zeros (%)29.2%
Negative0
Negative (%)0.0%
Memory size10.6 MiB
2023-02-05T18:19:27.980248image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile11
Maximum518
Range518
Interquartile range (IQR)1

Descriptive statistics

Standard deviation4.926014623
Coefficient of variation (CV)2.549222236
Kurtosis311.3284987
Mean1.932359821
Median Absolute Deviation (MAD)0
Skewness7.569058197
Sum1050825
Variance24.26562007
MonotonicityNot monotonic
2023-02-05T18:19:28.109665image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 403979
29.2%
1 19017
 
1.4%
4 12238
 
0.9%
2 11757
 
0.8%
6 11539
 
0.8%
5 11420
 
0.8%
3 10206
 
0.7%
8 9513
 
0.7%
7 8763
 
0.6%
10 7333
 
0.5%
Other values (93) 38039
 
2.7%
(Missing) 840533
60.7%
ValueCountFrequency (%)
0 403979
29.2%
1 19017
 
1.4%
2 11757
 
0.8%
3 10206
 
0.7%
4 12238
 
0.9%
ValueCountFrequency (%)
518 1
< 0.1%
346 1
< 0.1%
148 1
< 0.1%
134 1
< 0.1%
123 1
< 0.1%

IN_EQUIP_PARABOLICA
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.3 MiB
False
886525 
True
497812 
ValueCountFrequency (%)
False 886525
64.0%
True 497812
36.0%
2023-02-05T18:19:28.231940image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

IN_COMPUTADOR
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.3 MiB
True
1180187 
False
204150 
ValueCountFrequency (%)
True 1180187
85.3%
False 204150
 
14.7%
2023-02-05T18:19:28.323020image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

IN_EQUIP_COPIADORA
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.3 MiB
True
755906 
False
628431 
ValueCountFrequency (%)
True 755906
54.6%
False 628431
45.4%
2023-02-05T18:19:28.417604image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

IN_EQUIP_IMPRESSORA
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.3 MiB
True
1009209 
False
375128 
ValueCountFrequency (%)
True 1009209
72.9%
False 375128
 
27.1%
2023-02-05T18:19:28.509345image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

IN_EQUIP_IMPRESSORA_MULT
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.3 MiB
True
892830 
False
491507 
ValueCountFrequency (%)
True 892830
64.5%
False 491507
35.5%
2023-02-05T18:19:28.602599image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

IN_EQUIP_SCANNER
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.3 MiB
True
946424 
False
437913 
ValueCountFrequency (%)
True 946424
68.4%
False 437913
31.6%
2023-02-05T18:19:28.813725image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

IN_EQUIP_NENHUM
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.3 MiB
True
1060550 
False
323787 
ValueCountFrequency (%)
True 1060550
76.6%
False 323787
 
23.4%
2023-02-05T18:19:28.904198image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

IN_EQUIP_DVD
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.3 MiB
True
1040218 
False
344119 
ValueCountFrequency (%)
True 1040218
75.1%
False 344119
 
24.9%
2023-02-05T18:19:28.998285image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

QT_EQUIP_DVD
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct76
Distinct (%)< 0.1%
Missing282971
Missing (%)20.4%
Infinite0
Infinite (%)0.0%
Mean19.01554524
Minimum0
Maximum23352
Zeros344119
Zeros (%)24.9%
Negative0
Negative (%)0.0%
Memory size10.6 MiB
2023-02-05T18:19:29.098282image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile5
Maximum23352
Range23352
Interquartile range (IQR)2

Descriptive statistics

Standard deviation640.7806597
Coefficient of variation (CV)33.69772739
Kurtosis1321.929502
Mean19.01554524
Median Absolute Deviation (MAD)1
Skewness36.38564228
Sum20943075
Variance410599.8539
MonotonicityNot monotonic
2023-02-05T18:19:29.223161image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 415454
30.0%
0 344119
24.9%
2 175189
12.7%
3 68008
 
4.9%
4 35784
 
2.6%
5 21427
 
1.5%
6 13343
 
1.0%
7 6963
 
0.5%
8 6186
 
0.4%
10 6169
 
0.4%
Other values (66) 8724
 
0.6%
(Missing) 282971
20.4%
ValueCountFrequency (%)
0 344119
24.9%
1 415454
30.0%
2 175189
12.7%
3 68008
 
4.9%
4 35784
 
2.6%
ValueCountFrequency (%)
23352 830
0.1%
123 1
 
< 0.1%
120 1
 
< 0.1%
113 1
 
< 0.1%
105 1
 
< 0.1%

IN_EQUIP_SOM
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.3 MiB
True
1092170 
False
292167 
ValueCountFrequency (%)
True 1092170
78.9%
False 292167
 
21.1%
2023-02-05T18:19:29.336676image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

QT_EQUIP_SOM
Real number (ℝ)

MISSING  ZEROS 

Distinct102
Distinct (%)< 0.1%
Missing282971
Missing (%)20.4%
Infinite0
Infinite (%)0.0%
Mean93.06144188
Minimum0
Maximum23352
Zeros292167
Zeros (%)21.1%
Negative0
Negative (%)0.0%
Memory size10.6 MiB
2023-02-05T18:19:29.437669image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q33
95-th percentile7
Maximum23352
Range23352
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1454.798716
Coefficient of variation (CV)15.63266898
Kurtosis251.6119307
Mean93.06144188
Median Absolute Deviation (MAD)1
Skewness15.92514932
Sum102494708
Variance2116439.303
MonotonicityNot monotonic
2023-02-05T18:19:29.562483image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 339955
24.6%
0 292167
21.1%
2 171833
12.4%
3 99204
 
7.2%
4 61068
 
4.4%
5 41926
 
3.0%
6 26251
 
1.9%
8 15286
 
1.1%
7 14305
 
1.0%
10 10154
 
0.7%
Other values (92) 29217
 
2.1%
(Missing) 282971
20.4%
ValueCountFrequency (%)
0 292167
21.1%
1 339955
24.6%
2 171833
12.4%
3 99204
 
7.2%
4 61068
 
4.4%
ValueCountFrequency (%)
23352 4292
0.3%
618 1
 
< 0.1%
359 1
 
< 0.1%
219 1
 
< 0.1%
192 2
 
< 0.1%

IN_EQUIP_TV
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.3 MiB
True
1170540 
False
213797 
ValueCountFrequency (%)
True 1170540
84.6%
False 213797
 
15.4%
2023-02-05T18:19:29.678729image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

QT_EQUIP_TV
Real number (ℝ)

MISSING  ZEROS 

Distinct102
Distinct (%)< 0.1%
Missing282971
Missing (%)20.4%
Infinite0
Infinite (%)0.0%
Mean71.09079271
Minimum0
Maximum23352
Zeros213797
Zeros (%)15.4%
Negative0
Negative (%)0.0%
Memory size10.6 MiB
2023-02-05T18:19:29.780727image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q33
95-th percentile8
Maximum23352
Range23352
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1266.158294
Coefficient of variation (CV)17.81043994
Kurtosis334.081659
Mean71.09079271
Median Absolute Deviation (MAD)1
Skewness18.33237805
Sum78296982
Variance1603156.824
MonotonicityNot monotonic
2023-02-05T18:19:29.903698image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 372729
26.9%
2 217378
15.7%
0 213797
15.4%
3 107920
 
7.8%
4 59004
 
4.3%
5 36361
 
2.6%
6 22998
 
1.7%
7 14285
 
1.0%
8 11829
 
0.9%
10 8147
 
0.6%
Other values (92) 36918
 
2.7%
(Missing) 282971
20.4%
ValueCountFrequency (%)
0 213797
15.4%
1 372729
26.9%
2 217378
15.7%
3 107920
 
7.8%
4 59004
 
4.3%
ValueCountFrequency (%)
23352 3248
0.2%
5024 1
 
< 0.1%
250 1
 
< 0.1%
222 1
 
< 0.1%
153 1
 
< 0.1%

IN_EQUIP_LOUSA_DIGITAL
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.3 MiB
True
904729 
False
479608 
ValueCountFrequency (%)
True 904729
65.4%
False 479608
34.6%
2023-02-05T18:19:30.017094image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

QT_EQUIP_LOUSA_DIGITAL
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct63
Distinct (%)< 0.1%
Missing840533
Missing (%)60.7%
Infinite0
Infinite (%)0.0%
Mean5.727822892
Minimum0
Maximum23352
Zeros479608
Zeros (%)34.6%
Negative0
Negative (%)0.0%
Memory size10.6 MiB
2023-02-05T18:19:30.116097image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum23352
Range23352
Interquartile range (IQR)0

Descriptive statistics

Standard deviation356.8233308
Coefficient of variation (CV)62.2965021
Kurtosis4276.80634
Mean5.727822892
Median Absolute Deviation (MAD)0
Skewness65.41187555
Sum3114813
Variance127322.8894
MonotonicityNot monotonic
2023-02-05T18:19:30.239485image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 479608
34.6%
1 46359
 
3.3%
2 6591
 
0.5%
3 2608
 
0.2%
4 1513
 
0.1%
5 1192
 
0.1%
6 857
 
0.1%
8 719
 
0.1%
10 631
 
< 0.1%
7 537
 
< 0.1%
Other values (53) 3189
 
0.2%
(Missing) 840533
60.7%
ValueCountFrequency (%)
0 479608
34.6%
1 46359
 
3.3%
2 6591
 
0.5%
3 2608
 
0.2%
4 1513
 
0.1%
ValueCountFrequency (%)
23352 127
< 0.1%
100 1
 
< 0.1%
93 1
 
< 0.1%
75 2
 
< 0.1%
72 1
 
< 0.1%

IN_EQUIP_MULTIMIDIA
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.3 MiB
True
915595 
False
468742 
ValueCountFrequency (%)
True 915595
66.1%
False 468742
33.9%
2023-02-05T18:19:30.354242image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

QT_EQUIP_MULTIMIDIA
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct159
Distinct (%)< 0.1%
Missing282971
Missing (%)20.4%
Infinite0
Infinite (%)0.0%
Mean46.06685698
Minimum0
Maximum23352
Zeros468742
Zeros (%)33.9%
Negative0
Negative (%)0.0%
Memory size10.6 MiB
2023-02-05T18:19:30.454650image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile6
Maximum23352
Range23352
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1018.900706
Coefficient of variation (CV)22.11786896
Kurtosis519.1985673
Mean46.06685698
Median Absolute Deviation (MAD)1
Skewness22.82957708
Sum50736470
Variance1038158.649
MonotonicityNot monotonic
2023-02-05T18:19:30.580290image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 468742
33.9%
1 362477
26.2%
2 123384
 
8.9%
3 49279
 
3.6%
4 23500
 
1.7%
5 14589
 
1.1%
6 9798
 
0.7%
7 6118
 
0.4%
8 6051
 
0.4%
10 5378
 
0.4%
Other values (149) 32050
 
2.3%
(Missing) 282971
20.4%
ValueCountFrequency (%)
0 468742
33.9%
1 362477
26.2%
2 123384
 
8.9%
3 49279
 
3.6%
4 23500
 
1.7%
ValueCountFrequency (%)
23352 2101
0.2%
500 1
 
< 0.1%
422 1
 
< 0.1%
420 1
 
< 0.1%
395 1
 
< 0.1%

IN_EQUIP_VIDEOCASSETE
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.3 MiB
True
914586 
False
469751 
ValueCountFrequency (%)
True 914586
66.1%
False 469751
33.9%
2023-02-05T18:19:30.694560image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

IN_EQUIP_RETROPROJETOR
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.3 MiB
True
985716 
False
398621 
ValueCountFrequency (%)
True 985716
71.2%
False 398621
28.8%
2023-02-05T18:19:30.786228image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

IN_EQUIP_FAX
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.3 MiB
True
909219 
False
475118 
ValueCountFrequency (%)
True 909219
65.7%
False 475118
34.3%
2023-02-05T18:19:30.878965image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

IN_EQUIP_FOTO
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.3 MiB
True
1136209 
False
248128 
ValueCountFrequency (%)
True 1136209
82.1%
False 248128
 
17.9%
2023-02-05T18:19:31.092952image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

QT_EQUIP_VIDEOCASSETE
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct34
Distinct (%)< 0.1%
Missing826775
Missing (%)59.7%
Infinite0
Infinite (%)0.0%
Mean0.2225886987
Minimum0
Maximum9999
Zeros469751
Zeros (%)33.9%
Negative0
Negative (%)0.0%
Memory size10.6 MiB
2023-02-05T18:19:31.185739image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum9999
Range9999
Interquartile range (IQR)0

Descriptive statistics

Standard deviation13.40867471
Coefficient of variation (CV)60.23969228
Kurtosis554567.2339
Mean0.2225886987
Median Absolute Deviation (MAD)0
Skewness743.6990001
Sum124107
Variance179.7925576
MonotonicityNot monotonic
2023-02-05T18:19:31.296123image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
0 469751
33.9%
1 73079
 
5.3%
2 10047
 
0.7%
3 2417
 
0.2%
4 1053
 
0.1%
5 467
 
< 0.1%
6 221
 
< 0.1%
10 149
 
< 0.1%
8 114
 
< 0.1%
7 102
 
< 0.1%
Other values (24) 162
 
< 0.1%
(Missing) 826775
59.7%
ValueCountFrequency (%)
0 469751
33.9%
1 73079
 
5.3%
2 10047
 
0.7%
3 2417
 
0.2%
4 1053
 
0.1%
ValueCountFrequency (%)
9999 1
< 0.1%
212 1
< 0.1%
60 1
< 0.1%
45 2
< 0.1%
42 1
< 0.1%

QT_EQUIP_PARABOLICA
Real number (ℝ)

MISSING  ZEROS 

Distinct18
Distinct (%)< 0.1%
Missing826775
Missing (%)59.7%
Infinite0
Infinite (%)0.0%
Mean0.2340331658
Minimum0
Maximum24
Zeros436878
Zeros (%)31.6%
Negative0
Negative (%)0.0%
Memory size10.6 MiB
2023-02-05T18:19:31.393880image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum24
Range24
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4805404174
Coefficient of variation (CV)2.053300504
Kurtosis60.88348604
Mean0.2340331658
Median Absolute Deviation (MAD)0
Skewness3.510560608
Sum130488
Variance0.2309190927
MonotonicityNot monotonic
2023-02-05T18:19:31.490496image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
0 436878
31.6%
1 112796
 
8.1%
2 6711
 
0.5%
3 844
 
0.1%
4 235
 
< 0.1%
5 45
 
< 0.1%
10 13
 
< 0.1%
7 8
 
< 0.1%
11 7
 
< 0.1%
8 6
 
< 0.1%
Other values (8) 19
 
< 0.1%
(Missing) 826775
59.7%
ValueCountFrequency (%)
0 436878
31.6%
1 112796
 
8.1%
2 6711
 
0.5%
3 844
 
0.1%
4 235
 
< 0.1%
ValueCountFrequency (%)
24 2
< 0.1%
23 1
 
< 0.1%
18 1
 
< 0.1%
17 1
 
< 0.1%
15 4
< 0.1%

QT_EQUIP_COPIADORA
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct42
Distinct (%)< 0.1%
Missing826775
Missing (%)59.7%
Infinite0
Infinite (%)0.0%
Mean0.6986666954
Minimum0
Maximum999
Zeros311176
Zeros (%)22.5%
Negative0
Negative (%)0.0%
Memory size10.6 MiB
2023-02-05T18:19:31.603345image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile3
Maximum999
Range999
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.740897925
Coefficient of variation (CV)2.491743111
Kurtosis194033.3293
Mean0.6986666954
Median Absolute Deviation (MAD)0
Skewness340.7935974
Sum389550
Variance3.030725587
MonotonicityNot monotonic
2023-02-05T18:19:31.722644image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
0 311176
 
22.5%
1 158822
 
11.5%
2 57042
 
4.1%
3 19045
 
1.4%
4 6463
 
0.5%
5 2519
 
0.2%
6 1118
 
0.1%
7 510
 
< 0.1%
8 306
 
< 0.1%
9 281
 
< 0.1%
Other values (32) 280
 
< 0.1%
(Missing) 826775
59.7%
ValueCountFrequency (%)
0 311176
22.5%
1 158822
11.5%
2 57042
 
4.1%
3 19045
 
1.4%
4 6463
 
0.5%
ValueCountFrequency (%)
999 1
< 0.1%
120 1
< 0.1%
94 2
< 0.1%
70 1
< 0.1%
64 2
< 0.1%

QT_EQUIP_RETROPROJETOR
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct62
Distinct (%)< 0.1%
Missing826775
Missing (%)59.7%
Infinite0
Infinite (%)0.0%
Mean0.3919169527
Minimum0
Maximum219
Zeros398621
Zeros (%)28.8%
Negative0
Negative (%)0.0%
Memory size10.6 MiB
2023-02-05T18:19:31.849066image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum219
Range219
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.196044174
Coefficient of variation (CV)3.051779634
Kurtosis3726.892015
Mean0.3919169527
Median Absolute Deviation (MAD)0
Skewness34.72382066
Sum218518
Variance1.430521667
MonotonicityNot monotonic
2023-02-05T18:19:31.969618image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 398621
28.8%
1 133019
 
9.6%
2 17435
 
1.3%
3 3587
 
0.3%
4 1562
 
0.1%
5 925
 
0.1%
6 505
 
< 0.1%
8 315
 
< 0.1%
10 302
 
< 0.1%
7 247
 
< 0.1%
Other values (52) 1044
 
0.1%
(Missing) 826775
59.7%
ValueCountFrequency (%)
0 398621
28.8%
1 133019
 
9.6%
2 17435
 
1.3%
3 3587
 
0.3%
4 1562
 
0.1%
ValueCountFrequency (%)
219 1
 
< 0.1%
181 1
 
< 0.1%
109 1
 
< 0.1%
95 1
 
< 0.1%
91 3
< 0.1%

QT_EQUIP_IMPRESSORA
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct99
Distinct (%)< 0.1%
Missing826775
Missing (%)59.7%
Infinite0
Infinite (%)0.0%
Mean1.595408224
Minimum0
Maximum402
Zeros186466
Zeros (%)13.5%
Negative0
Negative (%)0.0%
Memory size10.6 MiB
2023-02-05T18:19:32.095898image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile5
Maximum402
Range402
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.605902555
Coefficient of variation (CV)1.633376659
Kurtosis2190.315323
Mean1.595408224
Median Absolute Deviation (MAD)1
Skewness25.1060088
Sum889539
Variance6.790728125
MonotonicityNot monotonic
2023-02-05T18:19:32.225018image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 186466
 
13.5%
1 168237
 
12.2%
2 86468
 
6.2%
3 48709
 
3.5%
4 27609
 
2.0%
5 15890
 
1.1%
6 9186
 
0.7%
7 4863
 
0.4%
8 3207
 
0.2%
10 1832
 
0.1%
Other values (89) 5095
 
0.4%
(Missing) 826775
59.7%
ValueCountFrequency (%)
0 186466
13.5%
1 168237
12.2%
2 86468
6.2%
3 48709
 
3.5%
4 27609
 
2.0%
ValueCountFrequency (%)
402 1
 
< 0.1%
264 3
< 0.1%
230 2
< 0.1%
228 1
 
< 0.1%
185 1
 
< 0.1%

QT_EQUIP_IMPRESSORA_MULT
Real number (ℝ)

MISSING  ZEROS 

Distinct62
Distinct (%)< 0.1%
Missing826775
Missing (%)59.7%
Infinite0
Infinite (%)0.0%
Mean0.9120617976
Minimum0
Maximum95
Zeros293280
Zeros (%)21.2%
Negative0
Negative (%)0.0%
Memory size10.6 MiB
2023-02-05T18:19:32.364003image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile3
Maximum95
Range95
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.592612193
Coefficient of variation (CV)1.746166978
Kurtosis264.5720241
Mean0.9120617976
Median Absolute Deviation (MAD)0
Skewness9.027348121
Sum508531
Variance2.536413598
MonotonicityNot monotonic
2023-02-05T18:19:32.483550image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 293280
 
21.2%
1 146715
 
10.6%
2 61655
 
4.5%
3 28555
 
2.1%
4 13022
 
0.9%
5 6348
 
0.5%
6 3148
 
0.2%
7 1572
 
0.1%
8 1002
 
0.1%
10 555
 
< 0.1%
Other values (52) 1710
 
0.1%
(Missing) 826775
59.7%
ValueCountFrequency (%)
0 293280
21.2%
1 146715
10.6%
2 61655
 
4.5%
3 28555
 
2.1%
4 13022
 
0.9%
ValueCountFrequency (%)
95 1
 
< 0.1%
86 3
< 0.1%
84 3
< 0.1%
76 3
< 0.1%
74 2
< 0.1%

QT_EQUIP_FAX
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct25
Distinct (%)< 0.1%
Missing826775
Missing (%)59.7%
Infinite0
Infinite (%)0.0%
Mean0.1990809991
Minimum0
Maximum9999
Zeros475118
Zeros (%)34.3%
Negative0
Negative (%)0.0%
Memory size10.6 MiB
2023-02-05T18:19:32.592044image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum9999
Range9999
Interquartile range (IQR)0

Descriptive statistics

Standard deviation18.6975122
Coefficient of variation (CV)93.9191198
Kurtosis273745.5356
Mean0.1990809991
Median Absolute Deviation (MAD)0
Skewness521.0657411
Sum111000
Variance349.5969625
MonotonicityNot monotonic
2023-02-05T18:19:32.694394image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
0 475118
34.3%
1 77439
 
5.6%
2 4066
 
0.3%
3 555
 
< 0.1%
4 162
 
< 0.1%
5 73
 
< 0.1%
6 47
 
< 0.1%
8 45
 
< 0.1%
7 15
 
< 0.1%
9 10
 
< 0.1%
Other values (15) 32
 
< 0.1%
(Missing) 826775
59.7%
ValueCountFrequency (%)
0 475118
34.3%
1 77439
 
5.6%
2 4066
 
0.3%
3 555
 
< 0.1%
4 162
 
< 0.1%
ValueCountFrequency (%)
9999 1
< 0.1%
9646 1
< 0.1%
1200 1
< 0.1%
600 1
< 0.1%
32 1
< 0.1%

QT_EQUIP_FOTO
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct60
Distinct (%)< 0.1%
Missing826775
Missing (%)59.7%
Infinite0
Infinite (%)0.0%
Mean0.881102012
Minimum0
Maximum9999
Zeros248128
Zeros (%)17.9%
Negative0
Negative (%)0.0%
Memory size10.6 MiB
2023-02-05T18:19:32.815811image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile3
Maximum9999
Range9999
Interquartile range (IQR)1

Descriptive statistics

Standard deviation13.46576832
Coefficient of variation (CV)15.28287093
Kurtosis545078.6222
Mean0.881102012
Median Absolute Deviation (MAD)1
Skewness734.1729106
Sum491269
Variance181.3269165
MonotonicityNot monotonic
2023-02-05T18:19:32.943429image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 248128
 
17.9%
1 211635
 
15.3%
2 64090
 
4.6%
3 18907
 
1.4%
4 7028
 
0.5%
5 3383
 
0.2%
6 1746
 
0.1%
7 797
 
0.1%
8 542
 
< 0.1%
9 287
 
< 0.1%
Other values (50) 1019
 
0.1%
(Missing) 826775
59.7%
ValueCountFrequency (%)
0 248128
17.9%
1 211635
15.3%
2 64090
 
4.6%
3 18907
 
1.4%
4 7028
 
0.5%
ValueCountFrequency (%)
9999 1
 
< 0.1%
286 1
 
< 0.1%
285 1
 
< 0.1%
110 3
< 0.1%
109 1
 
< 0.1%

QT_COMP_ALUNO
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct458
Distinct (%)0.1%
Missing826775
Missing (%)59.7%
Infinite0
Infinite (%)0.0%
Mean7.459586557
Minimum0
Maximum2207
Zeros276825
Zeros (%)20.0%
Negative0
Negative (%)0.0%
Memory size10.6 MiB
2023-02-05T18:19:33.078064image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q310
95-th percentile26
Maximum2207
Range2207
Interquartile range (IQR)10

Descriptive statistics

Standard deviation19.85783678
Coefficient of variation (CV)2.66205595
Kurtosis1020.22893
Mean7.459586557
Median Absolute Deviation (MAD)1
Skewness20.49840039
Sum4159182
Variance394.3336816
MonotonicityNot monotonic
2023-02-05T18:19:33.320320image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 276825
 
20.0%
1 26154
 
1.9%
5 24004
 
1.7%
10 23893
 
1.7%
2 14858
 
1.1%
18 12090
 
0.9%
4 11946
 
0.9%
20 11645
 
0.8%
15 10100
 
0.7%
8 9948
 
0.7%
Other values (448) 136099
 
9.8%
(Missing) 826775
59.7%
ValueCountFrequency (%)
0 276825
20.0%
1 26154
 
1.9%
2 14858
 
1.1%
3 9829
 
0.7%
4 11946
 
0.9%
ValueCountFrequency (%)
2207 1
< 0.1%
1908 1
< 0.1%
1459 1
< 0.1%
1390 1
< 0.1%
1280 1
< 0.1%

IN_DESKTOP_ALUNO
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.3 MiB
True
1083428 
False
300909 
ValueCountFrequency (%)
True 1083428
78.3%
False 300909
 
21.7%
2023-02-05T18:19:33.438465image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

QT_DESKTOP_ALUNO
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct402
Distinct (%)0.1%
Missing840533
Missing (%)60.7%
Infinite0
Infinite (%)0.0%
Mean41.01045781
Minimum0
Maximum23352
Zeros300909
Zeros (%)21.7%
Negative0
Negative (%)0.0%
Memory size10.6 MiB
2023-02-05T18:19:33.538421image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q36
95-th percentile23
Maximum23352
Range23352
Interquartile range (IQR)6

Descriptive statistics

Standard deviation906.6180585
Coefficient of variation (CV)22.10699677
Kurtosis656.8599779
Mean41.01045781
Median Absolute Deviation (MAD)0
Skewness25.66332285
Sum22301651
Variance821956.3041
MonotonicityNot monotonic
2023-02-05T18:19:33.664209image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 300909
 
21.7%
1 40446
 
2.9%
2 21980
 
1.6%
10 17705
 
1.3%
5 14519
 
1.0%
3 12746
 
0.9%
4 10609
 
0.8%
20 9433
 
0.7%
15 8982
 
0.6%
6 8855
 
0.6%
Other values (392) 97620
 
7.1%
(Missing) 840533
60.7%
ValueCountFrequency (%)
0 300909
21.7%
1 40446
 
2.9%
2 21980
 
1.6%
3 12746
 
0.9%
4 10609
 
0.8%
ValueCountFrequency (%)
23352 821
0.1%
1747 1
 
< 0.1%
1400 3
 
< 0.1%
1246 3
 
< 0.1%
1100 1
 
< 0.1%

IN_COMP_PORTATIL_ALUNO
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.3 MiB
True
988059 
False
396278 
ValueCountFrequency (%)
True 988059
71.4%
False 396278
28.6%
2023-02-05T18:19:33.781424image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

QT_COMP_PORTATIL_ALUNO
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct335
Distinct (%)0.1%
Missing840533
Missing (%)60.7%
Infinite0
Infinite (%)0.0%
Mean9.388595891
Minimum0
Maximum23352
Zeros396278
Zeros (%)28.6%
Negative0
Negative (%)0.0%
Memory size10.6 MiB
2023-02-05T18:19:33.881018image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile7
Maximum23352
Range23352
Interquartile range (IQR)1

Descriptive statistics

Standard deviation414.1957278
Coefficient of variation (CV)44.11689805
Kurtosis3169.011993
Mean9.388595891
Median Absolute Deviation (MAD)0
Skewness56.28517367
Sum5105556
Variance171558.1009
MonotonicityNot monotonic
2023-02-05T18:19:34.004294image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 396278
28.6%
1 55770
 
4.0%
2 33088
 
2.4%
3 15691
 
1.1%
4 7371
 
0.5%
5 4964
 
0.4%
10 2934
 
0.2%
6 2739
 
0.2%
20 1822
 
0.1%
8 1728
 
0.1%
Other values (325) 21419
 
1.5%
(Missing) 840533
60.7%
ValueCountFrequency (%)
0 396278
28.6%
1 55770
 
4.0%
2 33088
 
2.4%
3 15691
 
1.1%
4 7371
 
0.5%
ValueCountFrequency (%)
23352 171
< 0.1%
1595 1
 
< 0.1%
1500 1
 
< 0.1%
1212 1
 
< 0.1%
1010 1
 
< 0.1%

IN_TABLET_ALUNO
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.3 MiB
True
896561 
False
487776 
ValueCountFrequency (%)
True 896561
64.8%
False 487776
35.2%
2023-02-05T18:19:34.119441image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

QT_TABLET_ALUNO
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct353
Distinct (%)0.1%
Missing840533
Missing (%)60.7%
Infinite0
Infinite (%)0.0%
Mean6.477627969
Minimum0
Maximum23352
Zeros487776
Zeros (%)35.2%
Negative0
Negative (%)0.0%
Memory size10.6 MiB
2023-02-05T18:19:34.220659image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile5
Maximum23352
Range23352
Interquartile range (IQR)0

Descriptive statistics

Standard deviation338.3500156
Coefficient of variation (CV)52.23362892
Kurtosis4748.36347
Mean6.477627969
Median Absolute Deviation (MAD)0
Skewness68.86429096
Sum3522560
Variance114480.7331
MonotonicityNot monotonic
2023-02-05T18:19:34.344031image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 487776
35.2%
1 18707
 
1.4%
2 5961
 
0.4%
10 3030
 
0.2%
3 2200
 
0.2%
20 2089
 
0.2%
5 1961
 
0.1%
4 1715
 
0.1%
30 1482
 
0.1%
6 1310
 
0.1%
Other values (343) 17573
 
1.3%
(Missing) 840533
60.7%
ValueCountFrequency (%)
0 487776
35.2%
1 18707
 
1.4%
2 5961
 
0.4%
3 2200
 
0.2%
4 1715
 
0.1%
ValueCountFrequency (%)
23352 114
< 0.1%
1616 1
 
< 0.1%
1300 1
 
< 0.1%
1280 1
 
< 0.1%
1200 1
 
< 0.1%

QT_COMPUTADOR
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct597
Distinct (%)0.1%
Missing826775
Missing (%)59.7%
Infinite0
Infinite (%)0.0%
Mean11.36574049
Minimum0
Maximum3312
Zeros107129
Zeros (%)7.7%
Negative0
Negative (%)0.0%
Memory size10.6 MiB
2023-02-05T18:19:34.468568image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median4
Q315
95-th percentile36
Maximum3312
Range3312
Interquartile range (IQR)14

Descriptive statistics

Standard deviation28.99064028
Coefficient of variation (CV)2.550704048
Kurtosis1344.045328
Mean11.36574049
Median Absolute Deviation (MAD)4
Skewness24.06705353
Sum6337105
Variance840.4572237
MonotonicityNot monotonic
2023-02-05T18:19:34.590034image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 107129
 
7.7%
1 78785
 
5.7%
2 53796
 
3.9%
3 30073
 
2.2%
5 26945
 
1.9%
4 19835
 
1.4%
6 15995
 
1.2%
10 11990
 
0.9%
7 11567
 
0.8%
20 11242
 
0.8%
Other values (587) 190205
 
13.7%
(Missing) 826775
59.7%
ValueCountFrequency (%)
0 107129
7.7%
1 78785
5.7%
2 53796
3.9%
3 30073
 
2.2%
4 19835
 
1.4%
ValueCountFrequency (%)
3312 1
< 0.1%
3188 1
< 0.1%
2525 1
< 0.1%
2014 1
< 0.1%
2000 1
< 0.1%

QT_COMP_ADMINISTRATIVO
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct289
Distinct (%)0.1%
Missing826775
Missing (%)59.7%
Infinite0
Infinite (%)0.0%
Mean3.397249095
Minimum0
Maximum1404
Zeros136415
Zeros (%)9.9%
Negative0
Negative (%)0.0%
Memory size10.6 MiB
2023-02-05T18:19:34.719569image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q34
95-th percentile10
Maximum1404
Range1404
Interquartile range (IQR)3

Descriptive statistics

Standard deviation10.59336458
Coefficient of variation (CV)3.118218383
Kurtosis3198.72851
Mean3.397249095
Median Absolute Deviation (MAD)2
Skewness39.16819693
Sum1894177
Variance112.2193731
MonotonicityNot monotonic
2023-02-05T18:19:34.840868image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 136415
 
9.9%
1 134959
 
9.7%
2 84305
 
6.1%
3 52957
 
3.8%
4 35842
 
2.6%
5 27786
 
2.0%
6 18974
 
1.4%
7 13220
 
1.0%
8 10782
 
0.8%
10 7842
 
0.6%
Other values (279) 34480
 
2.5%
(Missing) 826775
59.7%
ValueCountFrequency (%)
0 136415
9.9%
1 134959
9.7%
2 84305
6.1%
3 52957
 
3.8%
4 35842
 
2.6%
ValueCountFrequency (%)
1404 1
 
< 0.1%
1353 1
 
< 0.1%
1200 3
< 0.1%
1000 2
< 0.1%
981 1
 
< 0.1%

IN_INTERNET
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.3 MiB
True
1103148 
False
281189 
ValueCountFrequency (%)
True 1103148
79.7%
False 281189
 
20.3%
2023-02-05T18:19:34.966095image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

IN_INTERNET_ALUNOS
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.3 MiB
True
1010058 
False
374279 
ValueCountFrequency (%)
True 1010058
73.0%
False 374279
 
27.0%
2023-02-05T18:19:35.057366image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

IN_INTERNET_ADMINISTRATIVO
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.3 MiB
True
1256611 
False
127726 
ValueCountFrequency (%)
True 1256611
90.8%
False 127726
 
9.2%
2023-02-05T18:19:35.149289image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

IN_INTERNET_APRENDIZAGEM
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.3 MiB
True
1094885 
False
289452 
ValueCountFrequency (%)
True 1094885
79.1%
False 289452
 
20.9%
2023-02-05T18:19:35.241409image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

IN_INTERNET_COMUNIDADE
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.3 MiB
True
865570 
False
518767 
ValueCountFrequency (%)
True 865570
62.5%
False 518767
37.5%
2023-02-05T18:19:35.331655image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

IN_ACESSO_INTERNET_COMPUTADOR
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.3 MiB
True
983056 
False
401281 
ValueCountFrequency (%)
True 983056
71.0%
False 401281
29.0%
2023-02-05T18:19:35.540224image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

IN_ACES_INTERNET_DISP_PESSOAIS
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.3 MiB
True
897929 
False
486408 
ValueCountFrequency (%)
True 897929
64.9%
False 486408
35.1%
2023-02-05T18:19:35.632097image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

TP_REDE_LOCAL
Categorical

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size10.6 MiB
967203 
A cabo e Wireless
136571 
A cabo
118267 
Wireless
 
87395
Não há rede local interligando computadores
 
74901

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row
2nd row
3rd row
4th row
5th row

Common Values

ValueCountFrequency (%)
967203
69.9%
A cabo e Wireless 136571
 
9.9%
A cabo 118267
 
8.5%
Wireless 87395
 
6.3%
Não há rede local interligando computadores 74901
 
5.4%

Common Values (Plot)

2023-02-05T18:19:35.734772image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

IN_BANDA_LARGA
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.3 MiB
True
1134852 
False
249485 
ValueCountFrequency (%)
True 1134852
82.0%
False 249485
 
18.0%
2023-02-05T18:19:35.841893image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

QT_FUNCIONARIOS
Real number (ℝ)

MISSING  SKEWED 

Distinct600
Distinct (%)0.1%
Missing826775
Missing (%)59.7%
Infinite0
Infinite (%)0.0%
Mean31.3854513
Minimum1
Maximum8080
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.6 MiB
2023-02-05T18:19:35.945915image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q110
median23
Q342
95-th percentile86
Maximum8080
Range8079
Interquartile range (IQR)32

Descriptive statistics

Standard deviation47.9060553
Coefficient of variation (CV)1.526377774
Kurtosis6427.6759
Mean31.3854513
Median Absolute Deviation (MAD)15
Skewness56.65270617
Sum17499335
Variance2294.990135
MonotonicityNot monotonic
2023-02-05T18:19:36.074089image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2 23803
 
1.7%
3 19390
 
1.4%
4 16918
 
1.2%
5 15290
 
1.1%
6 13905
 
1.0%
10 13694
 
1.0%
8 12471
 
0.9%
20 12389
 
0.9%
7 12185
 
0.9%
15 11952
 
0.9%
Other values (590) 405565
29.3%
(Missing) 826775
59.7%
ValueCountFrequency (%)
1 9151
 
0.7%
2 23803
1.7%
3 19390
1.4%
4 16918
1.2%
5 15290
1.1%
ValueCountFrequency (%)
8080 1
< 0.1%
6666 1
< 0.1%
6262 2
< 0.1%
6161 1
< 0.1%
6111 1
< 0.1%

IN_PROF_ADMINISTRATIVOS
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.3 MiB
True
1164994 
False
219343 
ValueCountFrequency (%)
True 1164994
84.2%
False 219343
 
15.8%
2023-02-05T18:19:36.202114image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

QT_PROF_ADMINISTRATIVOS
Real number (ℝ)

MISSING  ZEROS 

Distinct109
Distinct (%)< 0.1%
Missing840533
Missing (%)60.7%
Infinite0
Infinite (%)0.0%
Mean102.4220712
Minimum0
Maximum23352
Zeros219343
Zeros (%)15.8%
Negative0
Negative (%)0.0%
Memory size10.6 MiB
2023-02-05T18:19:36.303156image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile6
Maximum23352
Range23352
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1531.684649
Coefficient of variation (CV)14.95463459
Kurtosis226.4108285
Mean102.4220712
Median Absolute Deviation (MAD)1
Skewness15.113213
Sum55697532
Variance2346057.863
MonotonicityNot monotonic
2023-02-05T18:19:36.425780image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 219343
 
15.8%
1 146826
 
10.6%
2 75487
 
5.5%
3 37334
 
2.7%
4 22332
 
1.6%
5 13763
 
1.0%
6 8841
 
0.6%
7 4966
 
0.4%
8 3488
 
0.3%
23352 2350
 
0.2%
Other values (99) 9074
 
0.7%
(Missing) 840533
60.7%
ValueCountFrequency (%)
0 219343
15.8%
1 146826
10.6%
2 75487
 
5.5%
3 37334
 
2.7%
4 22332
 
1.6%
ValueCountFrequency (%)
23352 2350
0.2%
267 1
 
< 0.1%
208 2
 
< 0.1%
185 1
 
< 0.1%
141 1
 
< 0.1%

IN_PROF_SERVICOS_GERAIS
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.3 MiB
True
1294729 
False
 
89608
ValueCountFrequency (%)
True 1294729
93.5%
False 89608
 
6.5%
2023-02-05T18:19:36.540680image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

QT_PROF_SERVICOS_GERAIS
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct107
Distinct (%)< 0.1%
Missing840533
Missing (%)60.7%
Infinite0
Infinite (%)0.0%
Mean53.33268788
Minimum0
Maximum23352
Zeros89608
Zeros (%)6.5%
Negative0
Negative (%)0.0%
Memory size10.6 MiB
2023-02-05T18:19:36.639732image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q35
95-th percentile10
Maximum23352
Range23352
Interquartile range (IQR)4

Descriptive statistics

Standard deviation1078.619024
Coefficient of variation (CV)20.22435146
Kurtosis462.5806401
Mean53.33268788
Median Absolute Deviation (MAD)2
Skewness21.55394135
Sum29002529
Variance1163418.999
MonotonicityNot monotonic
2023-02-05T18:19:36.762369image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 108272
 
7.8%
0 89608
 
6.5%
2 89449
 
6.5%
3 64226
 
4.6%
4 51095
 
3.7%
5 35983
 
2.6%
6 27969
 
2.0%
7 18092
 
1.3%
8 15141
 
1.1%
9 9563
 
0.7%
Other values (97) 34406
 
2.5%
(Missing) 840533
60.7%
ValueCountFrequency (%)
0 89608
6.5%
1 108272
7.8%
2 89449
6.5%
3 64226
4.6%
4 51095
3.7%
ValueCountFrequency (%)
23352 1163
0.1%
200 1
 
< 0.1%
198 1
 
< 0.1%
148 1
 
< 0.1%
134 1
 
< 0.1%

IN_PROF_BIBLIOTECARIO
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.3 MiB
True
955851 
False
428486 
ValueCountFrequency (%)
True 955851
69.0%
False 428486
31.0%
2023-02-05T18:19:36.878206image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

QT_PROF_BIBLIOTECARIO
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct26
Distinct (%)< 0.1%
Missing840533
Missing (%)60.7%
Infinite0
Infinite (%)0.0%
Mean33.18261175
Minimum0
Maximum23352
Zeros428486
Zeros (%)31.0%
Negative0
Negative (%)0.0%
Memory size10.6 MiB
2023-02-05T18:19:36.964093image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum23352
Range23352
Interquartile range (IQR)0

Descriptive statistics

Standard deviation875.2302284
Coefficient of variation (CV)26.3761706
Kurtosis705.8616308
Mean33.18261175
Median Absolute Deviation (MAD)0
Skewness26.60560922
Sum18044837
Variance766027.9527
MonotonicityNot monotonic
2023-02-05T18:19:37.064714image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
0 428486
31.0%
1 72611
 
5.2%
2 27910
 
2.0%
3 9061
 
0.7%
4 2628
 
0.2%
5 1260
 
0.1%
23352 765
 
0.1%
6 528
 
< 0.1%
7 174
 
< 0.1%
8 143
 
< 0.1%
Other values (16) 238
 
< 0.1%
(Missing) 840533
60.7%
ValueCountFrequency (%)
0 428486
31.0%
1 72611
 
5.2%
2 27910
 
2.0%
3 9061
 
0.7%
4 2628
 
0.2%
ValueCountFrequency (%)
23352 765
0.1%
29 1
 
< 0.1%
28 1
 
< 0.1%
27 2
 
< 0.1%
22 3
 
< 0.1%

IN_PROF_SAUDE
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.3 MiB
True
859789 
False
524548 
ValueCountFrequency (%)
True 859789
62.1%
False 524548
37.9%
2023-02-05T18:19:37.170269image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

QT_PROF_SAUDE
Real number (ℝ)

MISSING  ZEROS 

Distinct51
Distinct (%)< 0.1%
Missing840533
Missing (%)60.7%
Infinite0
Infinite (%)0.0%
Mean81.66692043
Minimum0
Maximum23352
Zeros524548
Zeros (%)37.9%
Negative0
Negative (%)0.0%
Memory size10.6 MiB
2023-02-05T18:19:37.273667image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum23352
Range23352
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1377.903154
Coefficient of variation (CV)16.87223109
Kurtosis281.218543
Mean81.66692043
Median Absolute Deviation (MAD)0
Skewness16.82906451
Sum44410798
Variance1898617.101
MonotonicityNot monotonic
2023-02-05T18:19:37.398336image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 524548
37.9%
1 10874
 
0.8%
2 2766
 
0.2%
23352 1900
 
0.1%
3 1162
 
0.1%
5 567
 
< 0.1%
4 563
 
< 0.1%
6 257
 
< 0.1%
10 221
 
< 0.1%
8 176
 
< 0.1%
Other values (41) 770
 
0.1%
(Missing) 840533
60.7%
ValueCountFrequency (%)
0 524548
37.9%
1 10874
 
0.8%
2 2766
 
0.2%
3 1162
 
0.1%
4 563
 
< 0.1%
ValueCountFrequency (%)
23352 1900
0.1%
85 2
 
< 0.1%
68 1
 
< 0.1%
64 1
 
< 0.1%
63 2
 
< 0.1%

IN_PROF_COORDENADOR
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.3 MiB
True
990390 
False
393947 
ValueCountFrequency (%)
True 990390
71.5%
False 393947
 
28.5%
2023-02-05T18:19:37.513195image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

QT_PROF_COORDENADOR
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct50
Distinct (%)< 0.1%
Missing840533
Missing (%)60.7%
Infinite0
Infinite (%)0.0%
Mean29.9830472
Minimum0
Maximum23352
Zeros393947
Zeros (%)28.5%
Negative0
Negative (%)0.0%
Memory size10.6 MiB
2023-02-05T18:19:37.619845image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile2
Maximum23352
Range23352
Interquartile range (IQR)1

Descriptive statistics

Standard deviation829.4659948
Coefficient of variation (CV)27.66449952
Kurtosis786.5688453
Mean29.9830472
Median Absolute Deviation (MAD)0
Skewness28.08138987
Sum16304901
Variance688013.8365
MonotonicityNot monotonic
2023-02-05T18:19:37.743422image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 393947
28.5%
1 90285
 
6.5%
2 35255
 
2.5%
3 11908
 
0.9%
4 5769
 
0.4%
5 2474
 
0.2%
6 1348
 
0.1%
23352 687
 
< 0.1%
7 682
 
< 0.1%
8 406
 
< 0.1%
Other values (40) 1043
 
0.1%
(Missing) 840533
60.7%
ValueCountFrequency (%)
0 393947
28.5%
1 90285
 
6.5%
2 35255
 
2.5%
3 11908
 
0.9%
4 5769
 
0.4%
ValueCountFrequency (%)
23352 687
< 0.1%
65 1
 
< 0.1%
55 2
 
< 0.1%
52 1
 
< 0.1%
51 1
 
< 0.1%

IN_PROF_FONAUDIOLOGO
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.3 MiB
True
857576 
False
526761 
ValueCountFrequency (%)
True 857576
61.9%
False 526761
38.1%
2023-02-05T18:19:37.857456image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

QT_PROF_FONAUDIOLOGO
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct11
Distinct (%)< 0.1%
Missing840533
Missing (%)60.7%
Infinite0
Infinite (%)0.0%
Mean4.200204485
Minimum0
Maximum23352
Zeros526761
Zeros (%)38.1%
Negative0
Negative (%)0.0%
Memory size10.6 MiB
2023-02-05T18:19:38.055901image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum23352
Range23352
Interquartile range (IQR)0

Descriptive statistics

Standard deviation311.8529551
Coefficient of variation (CV)74.24708873
Kurtosis5601.27339
Mean4.200204485
Median Absolute Deviation (MAD)0
Skewness74.85486114
Sum2284088
Variance97252.26561
MonotonicityNot monotonic
2023-02-05T18:19:38.147190image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0 526761
38.1%
1 15468
 
1.1%
2 1163
 
0.1%
3 214
 
< 0.1%
23352 97
 
< 0.1%
4 42
 
< 0.1%
5 32
 
< 0.1%
6 17
 
< 0.1%
8 4
 
< 0.1%
7 4
 
< 0.1%
(Missing) 840533
60.7%
ValueCountFrequency (%)
0 526761
38.1%
1 15468
 
1.1%
2 1163
 
0.1%
3 214
 
< 0.1%
4 42
 
< 0.1%
ValueCountFrequency (%)
23352 97
< 0.1%
9 2
 
< 0.1%
8 4
 
< 0.1%
7 4
 
< 0.1%
6 17
 
< 0.1%

IN_PROF_NUTRICIONISTA
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.3 MiB
True
940654 
False
443683 
ValueCountFrequency (%)
True 940654
67.9%
False 443683
32.1%
2023-02-05T18:19:38.247529image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

QT_PROF_NUTRICIONISTA
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct17
Distinct (%)< 0.1%
Missing840533
Missing (%)60.7%
Infinite0
Infinite (%)0.0%
Mean1.825692713
Minimum0
Maximum23352
Zeros443683
Zeros (%)32.1%
Negative0
Negative (%)0.0%
Memory size10.6 MiB
2023-02-05T18:19:38.326783image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum23352
Range23352
Interquartile range (IQR)0

Descriptive statistics

Standard deviation195.1989003
Coefficient of variation (CV)106.9177189
Kurtosis14305.62264
Mean1.825692713
Median Absolute Deviation (MAD)0
Skewness119.6139613
Sum992819
Variance38102.61066
MonotonicityNot monotonic
2023-02-05T18:19:38.417449image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
0 443683
32.1%
1 95418
 
6.9%
2 4297
 
0.3%
3 260
 
< 0.1%
4 78
 
< 0.1%
23352 38
 
< 0.1%
5 8
 
< 0.1%
11 7
 
< 0.1%
6 4
 
< 0.1%
14 3
 
< 0.1%
Other values (7) 8
 
< 0.1%
(Missing) 840533
60.7%
ValueCountFrequency (%)
0 443683
32.1%
1 95418
 
6.9%
2 4297
 
0.3%
3 260
 
< 0.1%
4 78
 
< 0.1%
ValueCountFrequency (%)
23352 38
< 0.1%
44 1
 
< 0.1%
34 1
 
< 0.1%
23 1
 
< 0.1%
14 3
 
< 0.1%

IN_PROF_PSICOLOGO
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.3 MiB
True
891007 
False
493330 
ValueCountFrequency (%)
True 891007
64.4%
False 493330
35.6%
2023-02-05T18:19:38.518106image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

QT_PROF_PSICOLOGO
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct18
Distinct (%)< 0.1%
Missing840533
Missing (%)60.7%
Infinite0
Infinite (%)0.0%
Mean5.729380439
Minimum0
Maximum23352
Zeros493330
Zeros (%)35.6%
Negative0
Negative (%)0.0%
Memory size10.6 MiB
2023-02-05T18:19:38.600243image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum23352
Range23352
Interquartile range (IQR)0

Descriptive statistics

Standard deviation362.3972492
Coefficient of variation (CV)63.25243245
Kurtosis4146.205818
Mean5.729380439
Median Absolute Deviation (MAD)0
Skewness64.40641662
Sum3115660
Variance131331.7662
MonotonicityNot monotonic
2023-02-05T18:19:38.693097image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
0 493330
35.6%
1 45930
 
3.3%
2 3336
 
0.2%
3 711
 
0.1%
4 219
 
< 0.1%
23352 131
 
< 0.1%
5 69
 
< 0.1%
6 34
 
< 0.1%
7 21
 
< 0.1%
9 6
 
< 0.1%
Other values (8) 17
 
< 0.1%
(Missing) 840533
60.7%
ValueCountFrequency (%)
0 493330
35.6%
1 45930
 
3.3%
2 3336
 
0.2%
3 711
 
0.1%
4 219
 
< 0.1%
ValueCountFrequency (%)
23352 131
< 0.1%
17 1
 
< 0.1%
16 1
 
< 0.1%
15 1
 
< 0.1%
14 1
 
< 0.1%

IN_PROF_ALIMENTACAO
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.3 MiB
True
1183679 
False
200658 
ValueCountFrequency (%)
True 1183679
85.5%
False 200658
 
14.5%
2023-02-05T18:19:38.796336image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

QT_PROF_ALIMENTACAO
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct48
Distinct (%)< 0.1%
Missing840533
Missing (%)60.7%
Infinite0
Infinite (%)0.0%
Mean14.63649771
Minimum0
Maximum23352
Zeros200658
Zeros (%)14.5%
Negative0
Negative (%)0.0%
Memory size10.6 MiB
2023-02-05T18:19:38.895041image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile5
Maximum23352
Range23352
Interquartile range (IQR)2

Descriptive statistics

Standard deviation553.7531155
Coefficient of variation (CV)37.83371723
Kurtosis1772.117265
Mean14.63649771
Median Absolute Deviation (MAD)1
Skewness42.11997502
Sum7959386
Variance306642.5129
MonotonicityNot monotonic
2023-02-05T18:19:39.021438image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
0 200658
 
14.5%
1 119256
 
8.6%
2 109843
 
7.9%
3 50633
 
3.7%
4 33859
 
2.4%
5 12766
 
0.9%
6 8241
 
0.6%
7 3040
 
0.2%
8 2234
 
0.2%
9 977
 
0.1%
Other values (38) 2297
 
0.2%
(Missing) 840533
60.7%
ValueCountFrequency (%)
0 200658
14.5%
1 119256
8.6%
2 109843
7.9%
3 50633
 
3.7%
4 33859
 
2.4%
ValueCountFrequency (%)
23352 306
< 0.1%
88 2
 
< 0.1%
62 1
 
< 0.1%
54 1
 
< 0.1%
45 2
 
< 0.1%

IN_PROF_PEDAGOGIA
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.3 MiB
True
1178229 
False
206108 
ValueCountFrequency (%)
True 1178229
85.1%
False 206108
 
14.9%
2023-02-05T18:19:39.137714image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

QT_PROF_PEDAGOGIA
Real number (ℝ)

MISSING  ZEROS 

Distinct103
Distinct (%)< 0.1%
Missing840533
Missing (%)60.7%
Infinite0
Infinite (%)0.0%
Mean85.91153798
Minimum0
Maximum23352
Zeros206108
Zeros (%)14.9%
Negative0
Negative (%)0.0%
Memory size10.6 MiB
2023-02-05T18:19:39.238361image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile4
Maximum23352
Range23352
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1402.892889
Coefficient of variation (CV)16.329505
Kurtosis271.0468775
Mean85.91153798
Median Absolute Deviation (MAD)1
Skewness16.52407104
Sum46719038
Variance1968108.458
MonotonicityNot monotonic
2023-02-05T18:19:39.360062image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 206108
 
14.9%
1 188718
 
13.6%
2 76661
 
5.5%
3 29757
 
2.1%
4 15893
 
1.1%
5 8187
 
0.6%
6 4481
 
0.3%
7 2771
 
0.2%
23352 1970
 
0.1%
8 1969
 
0.1%
Other values (93) 7289
 
0.5%
(Missing) 840533
60.7%
ValueCountFrequency (%)
0 206108
14.9%
1 188718
13.6%
2 76661
 
5.5%
3 29757
 
2.1%
4 15893
 
1.1%
ValueCountFrequency (%)
23352 1970
0.1%
398 1
 
< 0.1%
200 1
 
< 0.1%
195 1
 
< 0.1%
167 1
 
< 0.1%

IN_PROF_SECRETARIO
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.3 MiB
True
1139737 
False
244600 
ValueCountFrequency (%)
True 1139737
82.3%
False 244600
 
17.7%
2023-02-05T18:19:39.474389image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

QT_PROF_SECRETARIO
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct23
Distinct (%)< 0.1%
Missing840533
Missing (%)60.7%
Infinite0
Infinite (%)0.0%
Mean4.07299505
Minimum0
Maximum23352
Zeros244600
Zeros (%)17.7%
Negative0
Negative (%)0.0%
Memory size10.6 MiB
2023-02-05T18:19:39.562810image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile1
Maximum23352
Range23352
Interquartile range (IQR)1

Descriptive statistics

Standard deviation284.9728024
Coefficient of variation (CV)69.96640038
Kurtosis6708.627811
Mean4.07299505
Median Absolute Deviation (MAD)0
Skewness81.91807675
Sum2214911
Variance81209.4981
MonotonicityNot monotonic
2023-02-05T18:19:39.658410image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
1 280936
 
20.3%
0 244600
 
17.7%
2 14615
 
1.1%
3 2487
 
0.2%
4 650
 
< 0.1%
5 201
 
< 0.1%
23352 81
 
< 0.1%
6 73
 
< 0.1%
11 44
 
< 0.1%
7 39
 
< 0.1%
Other values (13) 78
 
< 0.1%
(Missing) 840533
60.7%
ValueCountFrequency (%)
0 244600
17.7%
1 280936
20.3%
2 14615
 
1.1%
3 2487
 
0.2%
4 650
 
< 0.1%
ValueCountFrequency (%)
23352 81
< 0.1%
41 1
 
< 0.1%
34 1
 
< 0.1%
26 1
 
< 0.1%
22 4
 
< 0.1%

IN_PROF_SEGURANCA
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.3 MiB
True
931027 
False
453310 
ValueCountFrequency (%)
True 931027
67.3%
False 453310
32.7%
2023-02-05T18:19:39.766857image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

QT_PROF_SEGURANCA
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct43
Distinct (%)< 0.1%
Missing840533
Missing (%)60.7%
Infinite0
Infinite (%)0.0%
Mean51.60906871
Minimum0
Maximum23352
Zeros453310
Zeros (%)32.7%
Negative0
Negative (%)0.0%
Memory size10.6 MiB
2023-02-05T18:19:39.862100image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile3
Maximum23352
Range23352
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1092.546081
Coefficient of variation (CV)21.1696531
Kurtosis450.8343885
Mean51.60906871
Median Absolute Deviation (MAD)0
Skewness21.27985534
Sum28065218
Variance1193656.94
MonotonicityNot monotonic
2023-02-05T18:19:39.979099image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
0 453310
32.7%
2 33095
 
2.4%
1 29501
 
2.1%
3 11968
 
0.9%
4 10208
 
0.7%
6 1447
 
0.1%
5 1314
 
0.1%
23352 1193
 
0.1%
8 725
 
0.1%
7 263
 
< 0.1%
Other values (33) 780
 
0.1%
(Missing) 840533
60.7%
ValueCountFrequency (%)
0 453310
32.7%
1 29501
 
2.1%
2 33095
 
2.4%
3 11968
 
0.9%
4 10208
 
0.7%
ValueCountFrequency (%)
23352 1193
0.1%
71 1
 
< 0.1%
57 1
 
< 0.1%
51 4
 
< 0.1%
49 3
 
< 0.1%

IN_PROF_MONITORES
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.3 MiB
True
904402 
False
479935 
ValueCountFrequency (%)
True 904402
65.3%
False 479935
34.7%
2023-02-05T18:19:40.097935image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

QT_PROF_MONITORES
Real number (ℝ)

MISSING  ZEROS 

Distinct72
Distinct (%)< 0.1%
Missing840533
Missing (%)60.7%
Infinite0
Infinite (%)0.0%
Mean125.6319556
Minimum0
Maximum23352
Zeros479935
Zeros (%)34.7%
Negative0
Negative (%)0.0%
Memory size10.6 MiB
2023-02-05T18:19:40.196811image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum23352
Range23352
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1706.264848
Coefficient of variation (CV)13.58145576
Kurtosis181.3048471
Mean125.6319556
Median Absolute Deviation (MAD)0
Skewness13.53898228
Sum68319160
Variance2911339.73
MonotonicityNot monotonic
2023-02-05T18:19:40.320565image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 479935
34.7%
1 32837
 
2.4%
2 12125
 
0.9%
3 5129
 
0.4%
4 3062
 
0.2%
23352 2919
 
0.2%
5 2013
 
0.1%
6 1474
 
0.1%
7 916
 
0.1%
8 765
 
0.1%
Other values (62) 2629
 
0.2%
(Missing) 840533
60.7%
ValueCountFrequency (%)
0 479935
34.7%
1 32837
 
2.4%
2 12125
 
0.9%
3 5129
 
0.4%
4 3062
 
0.2%
ValueCountFrequency (%)
23352 2919
0.2%
211 2
 
< 0.1%
164 1
 
< 0.1%
116 1
 
< 0.1%
102 1
 
< 0.1%

IN_PROF_GESTAO
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.3 MiB
True
1178631 
False
205706 
ValueCountFrequency (%)
True 1178631
85.1%
False 205706
 
14.9%
2023-02-05T18:19:40.435052image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

QT_PROF_GESTAO
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct30
Distinct (%)< 0.1%
Missing1023001
Missing (%)73.9%
Infinite0
Infinite (%)0.0%
Mean5.812913742
Minimum0
Maximum23352
Zeros205706
Zeros (%)14.9%
Negative0
Negative (%)0.0%
Memory size10.6 MiB
2023-02-05T18:19:40.519817image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile2
Maximum23352
Range23352
Interquartile range (IQR)1

Descriptive statistics

Standard deviation349.585517
Coefficient of variation (CV)60.13946404
Kurtosis4455.947054
Mean5.812913742
Median Absolute Deviation (MAD)0
Skewness66.76747582
Sum2100415
Variance122210.0337
MonotonicityNot monotonic
2023-02-05T18:19:40.624370image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
0 205706
 
14.9%
1 115977
 
8.4%
2 30369
 
2.2%
3 6826
 
0.5%
4 1750
 
0.1%
5 309
 
< 0.1%
6 106
 
< 0.1%
23352 81
 
< 0.1%
7 48
 
< 0.1%
8 37
 
< 0.1%
Other values (20) 127
 
< 0.1%
(Missing) 1023001
73.9%
ValueCountFrequency (%)
0 205706
14.9%
1 115977
8.4%
2 30369
 
2.2%
3 6826
 
0.5%
4 1750
 
0.1%
ValueCountFrequency (%)
23352 81
< 0.1%
65 1
 
< 0.1%
62 2
 
< 0.1%
47 1
 
< 0.1%
45 1
 
< 0.1%

IN_PROF_ASSIST_SOCIAL
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.3 MiB
True
1041123 
False
343214 
ValueCountFrequency (%)
True 1041123
75.2%
False 343214
 
24.8%
2023-02-05T18:19:40.728114image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

QT_PROF_ASSIST_SOCIAL
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct17
Distinct (%)< 0.1%
Missing1023001
Missing (%)73.9%
Infinite0
Infinite (%)0.0%
Mean1.479354396
Minimum0
Maximum23352
Zeros343214
Zeros (%)24.8%
Negative0
Negative (%)0.0%
Memory size10.6 MiB
2023-02-05T18:19:40.929277image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum23352
Range23352
Interquartile range (IQR)0

Descriptive statistics

Standard deviation182.207658
Coefficient of variation (CV)123.1670102
Kurtosis16419.51362
Mean1.479354396
Median Absolute Deviation (MAD)0
Skewness128.1459484
Sum534544
Variance33199.63064
MonotonicityNot monotonic
2023-02-05T18:19:41.030823image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
0 343214
 
24.8%
1 16130
 
1.2%
2 1545
 
0.1%
3 289
 
< 0.1%
4 75
 
< 0.1%
5 29
 
< 0.1%
23352 22
 
< 0.1%
6 13
 
< 0.1%
7 6
 
< 0.1%
9 4
 
< 0.1%
Other values (7) 9
 
< 0.1%
(Missing) 1023001
73.9%
ValueCountFrequency (%)
0 343214
24.8%
1 16130
 
1.2%
2 1545
 
0.1%
3 289
 
< 0.1%
4 75
 
< 0.1%
ValueCountFrequency (%)
23352 22
< 0.1%
20 1
 
< 0.1%
15 1
 
< 0.1%
14 1
 
< 0.1%
13 2
 
< 0.1%

IN_ALIMENTACAO
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.3 MiB
True
1211596 
False
172741 
ValueCountFrequency (%)
True 1211596
87.5%
False 172741
 
12.5%
2023-02-05T18:19:41.131481image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

IN_SERIE_ANO
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.3 MiB
True
1306112 
False
 
78225
ValueCountFrequency (%)
True 1306112
94.3%
False 78225
 
5.7%
2023-02-05T18:19:41.224239image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

IN_PERIODOS_SEMESTRAIS
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.3 MiB
True
888671 
False
495666 
ValueCountFrequency (%)
True 888671
64.2%
False 495666
35.8%
2023-02-05T18:19:41.313821image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

IN_FUNDAMENTAL_CICLOS
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.3 MiB
False
734356 
True
649981 
ValueCountFrequency (%)
False 734356
53.0%
True 649981
47.0%
2023-02-05T18:19:41.416859image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

IN_GRUPOS_NAO_SERIADOS
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.3 MiB
True
901041 
False
483296 
ValueCountFrequency (%)
True 901041
65.1%
False 483296
34.9%
2023-02-05T18:19:41.513085image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

IN_MODULOS
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.3 MiB
True
861874 
False
522463 
ValueCountFrequency (%)
True 861874
62.3%
False 522463
37.7%
2023-02-05T18:19:41.604331image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

IN_FORMACAO_ALTERNANCIA
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.3 MiB
False
1085305 
True
299032 
ValueCountFrequency (%)
False 1085305
78.4%
True 299032
 
21.6%
2023-02-05T18:19:41.698939image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

IN_MATERIAL_PED_MULTIMIDIA
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.3 MiB
True
1023980 
False
360357 
ValueCountFrequency (%)
True 1023980
74.0%
False 360357
 
26.0%
2023-02-05T18:19:41.791809image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

IN_MATERIAL_PED_INFANTIL
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.3 MiB
True
1098077 
False
286260 
ValueCountFrequency (%)
True 1098077
79.3%
False 286260
 
20.7%
2023-02-05T18:19:41.885532image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

IN_MATERIAL_PED_CIENTIFICO
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.3 MiB
True
917775 
False
466562 
ValueCountFrequency (%)
True 917775
66.3%
False 466562
33.7%
2023-02-05T18:19:41.976764image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

IN_MATERIAL_PED_DIFUSAO
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.3 MiB
True
1085610 
False
298727 
ValueCountFrequency (%)
True 1085610
78.4%
False 298727
 
21.6%
2023-02-05T18:19:42.067554image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

IN_MATERIAL_PED_MUSICAL
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.3 MiB
True
960629 
False
423708 
ValueCountFrequency (%)
True 960629
69.4%
False 423708
30.6%
2023-02-05T18:19:42.163261image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

IN_MATERIAL_PED_JOGOS
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.3 MiB
True
1248458 
False
135879 
ValueCountFrequency (%)
True 1248458
90.2%
False 135879
 
9.8%
2023-02-05T18:19:42.255694image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

IN_MATERIAL_PED_ARTISTICAS
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.3 MiB
True
1039053 
False
345284 
ValueCountFrequency (%)
True 1039053
75.1%
False 345284
 
24.9%
2023-02-05T18:19:42.349177image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

IN_MATERIAL_PED_DESPORTIVA
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.3 MiB
True
1158384 
False
225953 
ValueCountFrequency (%)
True 1158384
83.7%
False 225953
 
16.3%
2023-02-05T18:19:42.441989image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

IN_MATERIAL_PED_INDIGENA
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.3 MiB
True
857929 
False
526408 
ValueCountFrequency (%)
True 857929
62.0%
False 526408
38.0%
2023-02-05T18:19:42.536081image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

IN_MATERIAL_PED_ETNICO
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.3 MiB
True
913040 
False
471297 
ValueCountFrequency (%)
True 913040
66.0%
False 471297
34.0%
2023-02-05T18:19:42.627955image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

IN_MATERIAL_PED_CAMPO
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.3 MiB
True
889955 
False
494382 
ValueCountFrequency (%)
True 889955
64.3%
False 494382
35.7%
2023-02-05T18:19:42.722628image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

IN_MATERIAL_PED_NENHUM
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.3 MiB
True
1061988 
False
322349 
ValueCountFrequency (%)
True 1061988
76.7%
False 322349
 
23.3%
2023-02-05T18:19:42.817148image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

IN_MATERIAL_ESP_QUILOMBOLA
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.3 MiB
True
831438 
False
552899 
ValueCountFrequency (%)
True 831438
60.1%
False 552899
39.9%
2023-02-05T18:19:42.908692image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

IN_MATERIAL_ESP_INDIGENA
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.3 MiB
True
833308 
False
551029 
ValueCountFrequency (%)
True 833308
60.2%
False 551029
39.8%
2023-02-05T18:19:43.001359image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

IN_MATERIAL_ESP_NAO_UTILIZA
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.3 MiB
True
1373141 
False
 
11196
ValueCountFrequency (%)
True 1373141
99.2%
False 11196
 
0.8%
2023-02-05T18:19:43.094042image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

IN_EDUCACAO_INDIGENA
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.3 MiB
False
1081282 
True
303055 
ValueCountFrequency (%)
False 1081282
78.1%
True 303055
 
21.9%
2023-02-05T18:19:43.187040image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

TP_INDIGENA_LINGUA
Categorical

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size10.6 MiB
1364253 
Em Língua Indígena e em Língua Portuguesa
 
13675
Somente em Língua Portuguesa
 
5566
Somente em Língua Indígena
 
843

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowEm Língua Indígena e em Língua Portuguesa
2nd row
3rd row
4th row
5th row

Common Values

ValueCountFrequency (%)
1364253
98.5%
Em Língua Indígena e em Língua Portuguesa 13675
 
1.0%
Somente em Língua Portuguesa 5566
 
0.4%
Somente em Língua Indígena 843
 
0.1%

Common Values (Plot)

2023-02-05T18:19:43.284194image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

CO_LINGUA_INDIGENA_1
Categorical

HIGH CARDINALITY  IMBALANCE 

Distinct197
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size10.6 MiB
1369819 
Guajajára
 
1080
Makuxí
 
1036
Tikúna
 
829
Lingua Geral Amazônica, Nheengatu
 
612
Other values (192)
 
10961

Unique

Unique14 ?
Unique (%)< 0.1%

Sample

1st rowTuparí
2nd row
3rd row
4th row
5th row

Common Values

ValueCountFrequency (%)
1369819
99.0%
Guajajára 1080
 
0.1%
Makuxí 1036
 
0.1%
Tikúna 829
 
0.1%
Lingua Geral Amazônica, Nheengatu 612
 
< 0.1%
Kaxinawá 589
 
< 0.1%
Kaingáng 556
 
< 0.1%
Xavánte/ Xavante 536
 
< 0.1%
Outras Linguas Indigenas 493
 
< 0.1%
Mawé 478
 
< 0.1%
Other values (187) 8309
 
0.6%

CO_LINGUA_INDIGENA_2
Categorical

HIGH CARDINALITY  IMBALANCE 

Distinct89
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size10.6 MiB
1383525 
Outras Linguas Indigenas
 
104
Wapixána
 
62
Kulína Madijá/ Kulina, Kulína Madihá (Madija)
 
48
Tupí, Tupi Antigo
 
47
Other values (84)
 
551

Unique

Unique18 ?
Unique (%)< 0.1%

Sample

1st row
2nd row
3rd row
4th row
5th row

Common Values

ValueCountFrequency (%)
1383525
99.9%
Outras Linguas Indigenas 104
 
< 0.1%
Wapixána 62
 
< 0.1%
Kulína Madijá/ Kulina, Kulína Madihá (Madija) 48
 
< 0.1%
Tupí, Tupi Antigo 47
 
< 0.1%
Tupí-Guaraní 44
 
< 0.1%
Timbira 37
 
< 0.1%
Makuxí 37
 
< 0.1%
Patxôhã/ Patxoha 35
 
< 0.1%
Guajajára 31
 
< 0.1%
Other values (79) 367
 
< 0.1%

CO_LINGUA_INDIGENA_3
Categorical

Distinct48
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size10.6 MiB
1384005 
Outras Linguas Indigenas
 
86
Tupí-Guaraní
 
57
Aruá
 
20
Guajajára
 
19
Other values (43)
 
150

Unique

Unique23 ?
Unique (%)< 0.1%

Sample

1st row
2nd row
3rd row
4th row
5th row

Common Values

ValueCountFrequency (%)
1384005
> 99.9%
Outras Linguas Indigenas 86
 
< 0.1%
Tupí-Guaraní 57
 
< 0.1%
Aruá 20
 
< 0.1%
Guajajára 19
 
< 0.1%
Tupí, Tupi Antigo 18
 
< 0.1%
Krahô/ Crao, Kraô 12
 
< 0.1%
Timbira 12
 
< 0.1%
Tembé 9
 
< 0.1%
Wapixána 9
 
< 0.1%
Other values (38) 90
 
< 0.1%

IN_BRASIL_ALFABETIZADO
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.3 MiB
True
838203 
False
546134 
ValueCountFrequency (%)
True 838203
60.5%
False 546134
39.5%
2023-02-05T18:19:43.389675image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

IN_FINAL_SEMANA
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.3 MiB
True
916527 
False
467810 
ValueCountFrequency (%)
True 916527
66.2%
False 467810
33.8%
2023-02-05T18:19:43.483035image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

IN_EXAME_SELECAO
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.3 MiB
True
861417 
False
522920 
ValueCountFrequency (%)
True 861417
62.2%
False 522920
37.8%
2023-02-05T18:19:43.579265image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

IN_RESERVA_PPI
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.3 MiB
True
1366427 
False
 
17910
ValueCountFrequency (%)
True 1366427
98.7%
False 17910
 
1.3%
2023-02-05T18:19:43.674588image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

IN_RESERVA_RENDA
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.3 MiB
True
1367550 
False
 
16787
ValueCountFrequency (%)
True 1367550
98.8%
False 16787
 
1.2%
2023-02-05T18:19:43.762015image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

IN_RESERVA_PUBLICA
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.3 MiB
True
1367385 
False
 
16952
ValueCountFrequency (%)
True 1367385
98.8%
False 16952
 
1.2%
2023-02-05T18:19:43.853064image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

IN_RESERVA_PCD
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.3 MiB
True
1367154 
False
 
17183
ValueCountFrequency (%)
True 1367154
98.8%
False 17183
 
1.2%
2023-02-05T18:19:43.942795image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

IN_RESERVA_OUTROS
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.3 MiB
True
1365617 
False
 
18720
ValueCountFrequency (%)
True 1365617
98.6%
False 18720
 
1.4%
2023-02-05T18:19:44.033723image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

IN_RESERVA_NENHUMA
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.3 MiB
True
1376180 
False
 
8157
ValueCountFrequency (%)
True 1376180
99.4%
False 8157
 
0.6%
2023-02-05T18:19:44.125322image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

IN_REDES_SOCIAIS
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.3 MiB
True
1092895 
False
291442 
ValueCountFrequency (%)
True 1092895
78.9%
False 291442
 
21.1%
2023-02-05T18:19:44.216386image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

IN_ESPACO_ATIVIDADE
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.3 MiB
True
1053443 
False
330894 
ValueCountFrequency (%)
True 1053443
76.1%
False 330894
 
23.9%
2023-02-05T18:19:44.309385image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

IN_ESPACO_EQUIPAMENTO
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.3 MiB
True
1040153 
False
344184 
ValueCountFrequency (%)
True 1040153
75.1%
False 344184
 
24.9%
2023-02-05T18:19:44.401322image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

IN_ORGAO_ASS_PAIS
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.3 MiB
True
860133 
False
524204 
ValueCountFrequency (%)
True 860133
62.1%
False 524204
37.9%
2023-02-05T18:19:44.494935image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

IN_ORGAO_ASS_PAIS_MESTRES
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.3 MiB
True
980532 
False
403805 
ValueCountFrequency (%)
True 980532
70.8%
False 403805
29.2%
2023-02-05T18:19:44.587408image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

IN_ORGAO_CONSELHO_ESCOLAR
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.3 MiB
True
1144509 
False
239828 
ValueCountFrequency (%)
True 1144509
82.7%
False 239828
 
17.3%
2023-02-05T18:19:44.680502image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

IN_ORGAO_GREMIO_ESTUDANTIL
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.3 MiB
True
895756 
False
488581 
ValueCountFrequency (%)
True 895756
64.7%
False 488581
35.3%
2023-02-05T18:19:44.775169image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

IN_ORGAO_OUTROS
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.3 MiB
True
882583 
False
501754 
ValueCountFrequency (%)
True 882583
63.8%
False 501754
36.2%
2023-02-05T18:19:44.869035image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

IN_ORGAO_NENHUM
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.3 MiB
True
1004034 
False
380303 
ValueCountFrequency (%)
True 1004034
72.5%
False 380303
 
27.5%
2023-02-05T18:19:44.963171image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

TP_PROPOSTA_PEDAGOGICA
Categorical

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size10.6 MiB
852346 
Sim
356260 
Não
151901 
A escola não possui projeto político pedagógico/proposta pedagógica
 
23830

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row
2nd row
3rd row
4th row
5th row

Common Values

ValueCountFrequency (%)
852346
61.6%
Sim 356260
25.7%
Não 151901
 
11.0%
A escola não possui projeto político pedagógico/proposta pedagógica 23830
 
1.7%

Common Values (Plot)

2023-02-05T18:19:45.061685image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

TP_AEE
Categorical

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size10.6 MiB
Não oferece
918334 
282971 
Não exclusivamente
178141 
Exclusivamente
 
4891

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNão oferece
2nd rowNão oferece
3rd rowNão oferece
4th row
5th rowNão exclusivamente

Common Values

ValueCountFrequency (%)
Não oferece 918334
66.3%
282971
 
20.4%
Não exclusivamente 178141
 
12.9%
Exclusivamente 4891
 
0.4%

Common Values (Plot)

2023-02-05T18:19:45.284204image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

TP_ATIVIDADE_COMPLEMENTAR
Categorical

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size10.6 MiB
Não oferece
945504 
282971 
Não exclusivamente
150459 
Exclusivamente
 
5403

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNão oferece
2nd rowNão oferece
3rd rowNão oferece
4th row
5th rowNão oferece

Common Values

ValueCountFrequency (%)
Não oferece 945504
68.3%
282971
 
20.4%
Não exclusivamente 150459
 
10.9%
Exclusivamente 5403
 
0.4%

Common Values (Plot)

2023-02-05T18:19:45.396290image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

IN_MEDIACAO_PRESENCIAL
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.3 MiB
True
1381388 
False
 
2949
ValueCountFrequency (%)
True 1381388
99.8%
False 2949
 
0.2%
2023-02-05T18:19:45.505930image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

IN_MEDIACAO_SEMIPRESENCIAL
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.3 MiB
False
1097802 
True
286535 
ValueCountFrequency (%)
False 1097802
79.3%
True 286535
 
20.7%
2023-02-05T18:19:45.600946image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

IN_MEDIACAO_EAD
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.3 MiB
False
1097500 
True
286837 
ValueCountFrequency (%)
False 1097500
79.3%
True 286837
 
20.7%
2023-02-05T18:19:45.693063image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

IN_REGULAR
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.3 MiB
True
1345185 
False
 
39152
ValueCountFrequency (%)
True 1345185
97.2%
False 39152
 
2.8%
2023-02-05T18:19:45.785543image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

IN_DIURNO
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.3 MiB
True
1367324 
False
 
17013
ValueCountFrequency (%)
True 1367324
98.8%
False 17013
 
1.2%
2023-02-05T18:19:45.874627image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

IN_NOTURNO
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.3 MiB
False
870818 
True
513519 
ValueCountFrequency (%)
False 870818
62.9%
True 513519
37.1%
2023-02-05T18:19:45.964592image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

IN_EAD
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.3 MiB
False
1083348 
True
300989 
ValueCountFrequency (%)
False 1083348
78.3%
True 300989
 
21.7%
2023-02-05T18:19:46.056944image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

IN_BAS
Boolean

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.3 MiB
True
1384337 
ValueCountFrequency (%)
True 1384337
100.0%
2023-02-05T18:19:46.145826image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

IN_INF
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.3 MiB
True
984280 
False
400057 
ValueCountFrequency (%)
True 984280
71.1%
False 400057
28.9%
2023-02-05T18:19:46.237035image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

IN_INF_CRE
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.3 MiB
True
708717 
False
675620 
ValueCountFrequency (%)
True 708717
51.2%
False 675620
48.8%
2023-02-05T18:19:46.330973image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

IN_INF_PRE
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.3 MiB
True
911565 
False
472772 
ValueCountFrequency (%)
True 911565
65.8%
False 472772
34.2%
2023-02-05T18:19:46.420855image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

IN_FUND
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.3 MiB
True
1062750 
False
321587 
ValueCountFrequency (%)
True 1062750
76.8%
False 321587
 
23.2%
2023-02-05T18:19:46.513869image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

IN_FUND_AI
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.3 MiB
True
963958 
False
420379 
ValueCountFrequency (%)
True 963958
69.6%
False 420379
30.4%
2023-02-05T18:19:46.604852image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

IN_FUND_AF
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.3 MiB
False
718363 
True
665974 
ValueCountFrequency (%)
False 718363
51.9%
True 665974
48.1%
2023-02-05T18:19:46.699532image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

IN_MED
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.3 MiB
False
918133 
True
466204 
ValueCountFrequency (%)
False 918133
66.3%
True 466204
33.7%
2023-02-05T18:19:46.793918image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

IN_PROF
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.3 MiB
False
1048623 
True
335714 
ValueCountFrequency (%)
False 1048623
75.7%
True 335714
 
24.3%
2023-02-05T18:19:46.884990image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

IN_PROF_TEC
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.3 MiB
False
1051297 
True
333040 
ValueCountFrequency (%)
False 1051297
75.9%
True 333040
 
24.1%
2023-02-05T18:19:46.982803image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

IN_EJA
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.3 MiB
False
908343 
True
475994 
ValueCountFrequency (%)
False 908343
65.6%
True 475994
34.4%
2023-02-05T18:19:47.080986image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

IN_EJA_FUND
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.3 MiB
False
939754 
True
444583 
ValueCountFrequency (%)
False 939754
67.9%
True 444583
32.1%
2023-02-05T18:19:47.183051image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

IN_EJA_MED
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.3 MiB
False
1033388 
True
350949 
ValueCountFrequency (%)
False 1033388
74.6%
True 350949
 
25.4%
2023-02-05T18:19:47.279781image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

IN_ESP
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.3 MiB
True
1009124 
False
375213 
ValueCountFrequency (%)
True 1009124
72.9%
False 375213
 
27.1%
2023-02-05T18:19:47.372449image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

IN_ESP_CC
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.3 MiB
True
997713 
False
386624 
ValueCountFrequency (%)
True 997713
72.1%
False 386624
 
27.9%
2023-02-05T18:19:47.464962image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

IN_ESP_CE
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.3 MiB
False
1070524 
True
313813 
ValueCountFrequency (%)
False 1070524
77.3%
True 313813
 
22.7%
2023-02-05T18:19:47.561428image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

QT_MAT_BAS
Real number (ℝ)

Distinct3189
Distinct (%)0.3%
Missing293659
Missing (%)21.2%
Infinite0
Infinite (%)0.0%
Mean263.438122
Minimum-31487
Maximum32437
Zeros0
Zeros (%)0.0%
Negative6
Negative (%)< 0.1%
Memory size10.6 MiB
2023-02-05T18:19:47.666654image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-31487
5-th percentile14
Q159
median153
Q3352
95-th percentile884
Maximum32437
Range63924
Interquartile range (IQR)293

Descriptive statistics

Standard deviation324.4562539
Coefficient of variation (CV)1.231622255
Kurtosis421.1988777
Mean263.438122
Median Absolute Deviation (MAD)115
Skewness3.269585267
Sum287326164
Variance105271.8607
MonotonicityNot monotonic
2023-02-05T18:19:47.783721image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
12 6643
 
0.5%
14 6622
 
0.5%
15 6618
 
0.5%
13 6608
 
0.5%
11 6556
 
0.5%
16 6423
 
0.5%
17 6249
 
0.5%
10 6220
 
0.4%
18 6203
 
0.4%
19 6069
 
0.4%
Other values (3179) 1026467
74.1%
(Missing) 293659
 
21.2%
ValueCountFrequency (%)
-31487 1
< 0.1%
-29410 1
< 0.1%
-24917 1
< 0.1%
-18449 1
< 0.1%
-10760 1
< 0.1%
ValueCountFrequency (%)
32437 1
< 0.1%
30185 1
< 0.1%
21210 1
< 0.1%
17858 1
< 0.1%
16291 1
< 0.1%

QT_MAT_INF
Real number (ℝ)

MISSING  ZEROS 

Distinct949
Distinct (%)0.1%
Missing293659
Missing (%)21.2%
Infinite0
Infinite (%)0.0%
Mean47.36044094
Minimum0
Maximum2515
Zeros400057
Zeros (%)28.9%
Negative0
Negative (%)0.0%
Memory size10.6 MiB
2023-02-05T18:19:47.913667image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median13
Q364
95-th percentile203
Maximum2515
Range2515
Interquartile range (IQR)64

Descriptive statistics

Standard deviation78.69247566
Coefficient of variation (CV)1.66156552
Kurtosis19.38457639
Mean47.36044094
Median Absolute Deviation (MAD)13
Skewness3.200740199
Sum51654991
Variance6192.505725
MonotonicityNot monotonic
2023-02-05T18:19:48.040901image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 400057
28.9%
5 13703
 
1.0%
4 13660
 
1.0%
6 13226
 
1.0%
3 13012
 
0.9%
7 12895
 
0.9%
8 12201
 
0.9%
9 11704
 
0.8%
10 11568
 
0.8%
2 11525
 
0.8%
Other values (939) 577127
41.7%
(Missing) 293659
21.2%
ValueCountFrequency (%)
0 400057
28.9%
1 8272
 
0.6%
2 11525
 
0.8%
3 13012
 
0.9%
4 13660
 
1.0%
ValueCountFrequency (%)
2515 1
< 0.1%
2466 1
< 0.1%
2355 1
< 0.1%
2279 1
< 0.1%
2247 1
< 0.1%

QT_MAT_INF_CRE
Real number (ℝ)

MISSING  ZEROS 

Distinct593
Distinct (%)0.1%
Missing293659
Missing (%)21.2%
Infinite0
Infinite (%)0.0%
Mean19.30659003
Minimum0
Maximum2466
Zeros675620
Zeros (%)48.8%
Negative0
Negative (%)0.0%
Memory size10.6 MiB
2023-02-05T18:19:48.164275image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q317
95-th percentile110
Maximum2466
Range2466
Interquartile range (IQR)17

Descriptive statistics

Standard deviation42.85981694
Coefficient of variation (CV)2.219957894
Kurtosis61.79124186
Mean19.30659003
Median Absolute Deviation (MAD)0
Skewness4.259341283
Sum21057273
Variance1836.963908
MonotonicityNot monotonic
2023-02-05T18:19:48.289690image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 675620
48.8%
1 13141
 
0.9%
2 12255
 
0.9%
3 11403
 
0.8%
4 10523
 
0.8%
5 9898
 
0.7%
6 9183
 
0.7%
7 8698
 
0.6%
8 8461
 
0.6%
10 8142
 
0.6%
Other values (583) 323354
23.4%
(Missing) 293659
21.2%
ValueCountFrequency (%)
0 675620
48.8%
1 13141
 
0.9%
2 12255
 
0.9%
3 11403
 
0.8%
4 10523
 
0.8%
ValueCountFrequency (%)
2466 1
< 0.1%
2412 1
< 0.1%
2355 1
< 0.1%
2279 1
< 0.1%
2221 1
< 0.1%

QT_MAT_INF_PRE
Real number (ℝ)

MISSING  ZEROS 

Distinct798
Distinct (%)0.1%
Missing293659
Missing (%)21.2%
Infinite0
Infinite (%)0.0%
Mean28.05385091
Minimum0
Maximum1319
Zeros472772
Zeros (%)34.2%
Negative0
Negative (%)0.0%
Memory size10.6 MiB
2023-02-05T18:19:48.413545image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median5
Q333
95-th percentile128
Maximum1319
Range1319
Interquartile range (IQR)33

Descriptive statistics

Standard deviation55.20701899
Coefficient of variation (CV)1.967894503
Kurtosis28.77376623
Mean28.05385091
Median Absolute Deviation (MAD)5
Skewness4.254119168
Sum30597718
Variance3047.814945
MonotonicityNot monotonic
2023-02-05T18:19:48.658046image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 472772
34.2%
4 17117
 
1.2%
5 16929
 
1.2%
3 16591
 
1.2%
6 16276
 
1.2%
7 15667
 
1.1%
2 14822
 
1.1%
8 14814
 
1.1%
9 14271
 
1.0%
10 13737
 
1.0%
Other values (788) 477682
34.5%
(Missing) 293659
21.2%
ValueCountFrequency (%)
0 472772
34.2%
1 11105
 
0.8%
2 14822
 
1.1%
3 16591
 
1.2%
4 17117
 
1.2%
ValueCountFrequency (%)
1319 1
< 0.1%
1237 1
< 0.1%
1173 1
< 0.1%
1167 1
< 0.1%
1164 1
< 0.1%

QT_MAT_FUND
Real number (ℝ)

MISSING  ZEROS 

Distinct2021
Distinct (%)0.2%
Missing293659
Missing (%)21.2%
Infinite0
Infinite (%)0.0%
Mean148.8814196
Minimum0
Maximum5339
Zeros321587
Zeros (%)23.2%
Negative0
Negative (%)0.0%
Memory size10.6 MiB
2023-02-05T18:19:48.787794image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median47
Q3221
95-th percentile603
Maximum5339
Range5339
Interquartile range (IQR)221

Descriptive statistics

Standard deviation217.245794
Coefficient of variation (CV)1.459186744
Kurtosis8.453055416
Mean148.8814196
Median Absolute Deviation (MAD)47
Skewness2.311092446
Sum162381689
Variance47195.735
MonotonicityNot monotonic
2023-02-05T18:19:48.925503image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 321587
23.2%
10 8218
 
0.6%
11 8099
 
0.6%
9 8081
 
0.6%
12 7859
 
0.6%
8 7626
 
0.6%
13 7608
 
0.5%
14 7345
 
0.5%
7 7112
 
0.5%
15 6926
 
0.5%
Other values (2011) 700217
50.6%
(Missing) 293659
21.2%
ValueCountFrequency (%)
0 321587
23.2%
1 623
 
< 0.1%
2 1261
 
0.1%
3 2185
 
0.2%
4 3568
 
0.3%
ValueCountFrequency (%)
5339 1
< 0.1%
5179 1
< 0.1%
4513 1
< 0.1%
4193 1
< 0.1%
3926 1
< 0.1%

QT_MAT_FUND_AI
Real number (ℝ)

MISSING  ZEROS 

Distinct1403
Distinct (%)0.1%
Missing293659
Missing (%)21.2%
Infinite0
Infinite (%)0.0%
Mean82.78296894
Minimum0
Maximum2961
Zeros420379
Zeros (%)30.4%
Negative0
Negative (%)0.0%
Memory size10.6 MiB
2023-02-05T18:19:49.050728image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median19
Q3105
95-th percentile379
Maximum2961
Range2961
Interquartile range (IQR)105

Descriptive statistics

Standard deviation140.0587818
Coefficient of variation (CV)1.691879183
Kurtosis11.03333148
Mean82.78296894
Median Absolute Deviation (MAD)19
Skewness2.800116715
Sum90289563
Variance19616.46237
MonotonicityNot monotonic
2023-02-05T18:19:49.176735image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 420379
30.4%
10 9067
 
0.7%
11 8976
 
0.6%
9 8863
 
0.6%
12 8826
 
0.6%
13 8499
 
0.6%
8 8390
 
0.6%
14 8227
 
0.6%
7 7849
 
0.6%
15 7834
 
0.6%
Other values (1393) 593768
42.9%
(Missing) 293659
21.2%
ValueCountFrequency (%)
0 420379
30.4%
1 941
 
0.1%
2 1592
 
0.1%
3 2622
 
0.2%
4 4136
 
0.3%
ValueCountFrequency (%)
2961 1
< 0.1%
2595 1
< 0.1%
2557 1
< 0.1%
2445 1
< 0.1%
2199 1
< 0.1%

QT_MAT_FUND_AF
Real number (ℝ)

MISSING  ZEROS 

Distinct1443
Distinct (%)0.1%
Missing293659
Missing (%)21.2%
Infinite0
Infinite (%)0.0%
Mean66.09845069
Minimum0
Maximum2584
Zeros718363
Zeros (%)51.9%
Negative0
Negative (%)0.0%
Memory size10.6 MiB
2023-02-05T18:19:49.308722image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q364
95-th percentile376
Maximum2584
Range2584
Interquartile range (IQR)64

Descriptive statistics

Standard deviation142.5093545
Coefficient of variation (CV)2.156016563
Kurtosis12.86441314
Mean66.09845069
Median Absolute Deviation (MAD)0
Skewness3.147636823
Sum72092126
Variance20308.91611
MonotonicityNot monotonic
2023-02-05T18:19:49.439140image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 718363
51.9%
52 1775
 
0.1%
51 1723
 
0.1%
59 1719
 
0.1%
62 1718
 
0.1%
65 1714
 
0.1%
66 1708
 
0.1%
55 1704
 
0.1%
45 1699
 
0.1%
38 1695
 
0.1%
Other values (1433) 356860
25.8%
(Missing) 293659
21.2%
ValueCountFrequency (%)
0 718363
51.9%
1 1327
 
0.1%
2 936
 
0.1%
3 790
 
0.1%
4 920
 
0.1%
ValueCountFrequency (%)
2584 1
< 0.1%
2378 1
< 0.1%
2354 1
< 0.1%
2228 1
< 0.1%
2226 1
< 0.1%

QT_MAT_MED
Real number (ℝ)

MISSING  ZEROS 

Distinct2060
Distinct (%)0.2%
Missing293659
Missing (%)21.2%
Infinite0
Infinite (%)0.0%
Mean42.6895509
Minimum0
Maximum4199
Zeros918133
Zeros (%)66.3%
Negative0
Negative (%)0.0%
Memory size10.6 MiB
2023-02-05T18:19:49.570825image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile307
Maximum4199
Range4199
Interquartile range (IQR)0

Descriptive statistics

Standard deviation147.5490916
Coefficient of variation (CV)3.456328035
Kurtosis45.01379281
Mean42.6895509
Median Absolute Deviation (MAD)0
Skewness5.616944931
Sum46560554
Variance21770.73443
MonotonicityNot monotonic
2023-02-05T18:19:49.694612image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 918133
66.3%
67 751
 
0.1%
58 749
 
0.1%
61 738
 
0.1%
52 722
 
0.1%
62 713
 
0.1%
57 709
 
0.1%
66 708
 
0.1%
47 707
 
0.1%
55 703
 
0.1%
Other values (2050) 166045
 
12.0%
(Missing) 293659
 
21.2%
ValueCountFrequency (%)
0 918133
66.3%
1 49
 
< 0.1%
2 61
 
< 0.1%
3 87
 
< 0.1%
4 160
 
< 0.1%
ValueCountFrequency (%)
4199 1
< 0.1%
3411 1
< 0.1%
3390 1
< 0.1%
3359 1
< 0.1%
3312 1
< 0.1%

QT_MAT_PROF
Real number (ℝ)

MISSING  ZEROS 

Distinct1981
Distinct (%)0.2%
Missing293659
Missing (%)21.2%
Infinite0
Infinite (%)0.0%
Mean10.03436211
Minimum-32253
Maximum31542
Zeros1048623
Zeros (%)75.7%
Negative6
Negative (%)< 0.1%
Memory size10.6 MiB
2023-02-05T18:19:49.818110image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-32253
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum31542
Range63795
Interquartile range (IQR)0

Descriptive statistics

Standard deviation123.5614988
Coefficient of variation (CV)12.31383694
Kurtosis18840.58497
Mean10.03436211
Median Absolute Deviation (MAD)0
Skewness13.41207846
Sum10944258
Variance15267.44399
MonotonicityNot monotonic
2023-02-05T18:19:49.949344image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1048623
75.7%
30 319
 
< 0.1%
24 319
 
< 0.1%
15 318
 
< 0.1%
29 313
 
< 0.1%
40 309
 
< 0.1%
25 307
 
< 0.1%
19 302
 
< 0.1%
35 302
 
< 0.1%
39 301
 
< 0.1%
Other values (1971) 39265
 
2.8%
(Missing) 293659
 
21.2%
ValueCountFrequency (%)
-32253 1
< 0.1%
-29410 1
< 0.1%
-24917 1
< 0.1%
-18738 1
< 0.1%
-11156 1
< 0.1%
ValueCountFrequency (%)
31542 1
< 0.1%
30185 1
< 0.1%
21210 1
< 0.1%
17858 1
< 0.1%
16069 1
< 0.1%

QT_MAT_PROF_TEC
Real number (ℝ)

MISSING  ZEROS 

Distinct1978
Distinct (%)0.2%
Missing293659
Missing (%)21.2%
Infinite0
Infinite (%)0.0%
Mean9.783660255
Minimum-32253
Maximum31542
Zeros1051297
Zeros (%)75.9%
Negative6
Negative (%)< 0.1%
Memory size10.6 MiB
2023-02-05T18:19:50.079659image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-32253
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum31542
Range63795
Interquartile range (IQR)0

Descriptive statistics

Standard deviation123.1140551
Coefficient of variation (CV)12.58363965
Kurtosis19115.3292
Mean9.783660255
Median Absolute Deviation (MAD)0
Skewness13.50308082
Sum10670823
Variance15157.07057
MonotonicityNot monotonic
2023-02-05T18:19:50.197296image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1051297
75.9%
30 291
 
< 0.1%
40 287
 
< 0.1%
24 279
 
< 0.1%
29 279
 
< 0.1%
35 274
 
< 0.1%
39 272
 
< 0.1%
38 270
 
< 0.1%
28 266
 
< 0.1%
25 257
 
< 0.1%
Other values (1968) 36906
 
2.7%
(Missing) 293659
 
21.2%
ValueCountFrequency (%)
-32253 1
< 0.1%
-29410 1
< 0.1%
-24917 1
< 0.1%
-18738 1
< 0.1%
-11156 1
< 0.1%
ValueCountFrequency (%)
31542 1
< 0.1%
30185 1
< 0.1%
21210 1
< 0.1%
17858 1
< 0.1%
16069 1
< 0.1%

QT_MAT_EJA
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct1914
Distinct (%)0.2%
Missing293659
Missing (%)21.2%
Infinite0
Infinite (%)0.0%
Mean18.21400725
Minimum0
Maximum15684
Zeros908343
Zeros (%)65.6%
Negative0
Negative (%)0.0%
Memory size10.6 MiB
2023-02-05T18:19:50.329374image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile109
Maximum15684
Range15684
Interquartile range (IQR)0

Descriptive statistics

Standard deviation97.82208891
Coefficient of variation (CV)5.370706597
Kurtosis2300.026423
Mean18.21400725
Median Absolute Deviation (MAD)0
Skewness30.82700845
Sum19865617
Variance9569.161078
MonotonicityNot monotonic
2023-02-05T18:19:50.453854image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 908343
65.6%
15 3454
 
0.2%
16 3182
 
0.2%
20 3056
 
0.2%
17 2985
 
0.2%
18 2963
 
0.2%
14 2953
 
0.2%
19 2849
 
0.2%
21 2829
 
0.2%
13 2653
 
0.2%
Other values (1904) 155411
 
11.2%
(Missing) 293659
 
21.2%
ValueCountFrequency (%)
0 908343
65.6%
1 162
 
< 0.1%
2 187
 
< 0.1%
3 296
 
< 0.1%
4 451
 
< 0.1%
ValueCountFrequency (%)
15684 1
< 0.1%
13199 1
< 0.1%
12104 1
< 0.1%
10985 1
< 0.1%
10464 1
< 0.1%

QT_MAT_EJA_FUND
Real number (ℝ)

MISSING  ZEROS 

Distinct1141
Distinct (%)0.1%
Missing293659
Missing (%)21.2%
Infinite0
Infinite (%)0.0%
Mean10.81847713
Minimum0
Maximum4593
Zeros939754
Zeros (%)67.9%
Negative0
Negative (%)0.0%
Memory size10.6 MiB
2023-02-05T18:19:50.588176image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile65
Maximum4593
Range4593
Interquartile range (IQR)0

Descriptive statistics

Standard deviation50.2892874
Coefficient of variation (CV)4.648462698
Kurtosis568.1758685
Mean10.81847713
Median Absolute Deviation (MAD)0
Skewness15.39773217
Sum11799475
Variance2529.012427
MonotonicityNot monotonic
2023-02-05T18:19:50.844374image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 939754
67.9%
15 3482
 
0.3%
16 3187
 
0.2%
20 3049
 
0.2%
17 2995
 
0.2%
14 2947
 
0.2%
18 2946
 
0.2%
19 2840
 
0.2%
21 2789
 
0.2%
13 2728
 
0.2%
Other values (1131) 123961
 
9.0%
(Missing) 293659
 
21.2%
ValueCountFrequency (%)
0 939754
67.9%
1 191
 
< 0.1%
2 214
 
< 0.1%
3 343
 
< 0.1%
4 485
 
< 0.1%
ValueCountFrequency (%)
4593 1
< 0.1%
4480 1
< 0.1%
4141 1
< 0.1%
3962 1
< 0.1%
3892 1
< 0.1%

QT_MAT_EJA_MED
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct1429
Distinct (%)0.1%
Missing293659
Missing (%)21.2%
Infinite0
Infinite (%)0.0%
Mean7.39553012
Minimum0
Maximum11204
Zeros1033388
Zeros (%)74.6%
Negative0
Negative (%)0.0%
Memory size10.6 MiB
2023-02-05T18:19:50.969996image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile13
Maximum11204
Range11204
Interquartile range (IQR)0

Descriptive statistics

Standard deviation63.81137779
Coefficient of variation (CV)8.628371023
Kurtosis3291.353955
Mean7.39553012
Median Absolute Deviation (MAD)0
Skewness38.9468338
Sum8066142
Variance4071.891935
MonotonicityNot monotonic
2023-02-05T18:19:51.091898image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1033388
74.6%
21 469
 
< 0.1%
23 460
 
< 0.1%
26 458
 
< 0.1%
35 455
 
< 0.1%
25 454
 
< 0.1%
29 438
 
< 0.1%
19 438
 
< 0.1%
20 435
 
< 0.1%
18 429
 
< 0.1%
Other values (1419) 53254
 
3.8%
(Missing) 293659
 
21.2%
ValueCountFrequency (%)
0 1033388
74.6%
1 70
 
< 0.1%
2 78
 
< 0.1%
3 108
 
< 0.1%
4 126
 
< 0.1%
ValueCountFrequency (%)
11204 1
< 0.1%
8606 1
< 0.1%
8142 1
< 0.1%
7873 1
< 0.1%
7429 1
< 0.1%

QT_MAT_ESP
Real number (ℝ)

MISSING  ZEROS 

Distinct403
Distinct (%)< 0.1%
Missing293659
Missing (%)21.2%
Infinite0
Infinite (%)0.0%
Mean6.537109944
Minimum0
Maximum1051
Zeros375213
Zeros (%)27.1%
Negative0
Negative (%)0.0%
Memory size10.6 MiB
2023-02-05T18:19:51.219592image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q37
95-th percentile28
Maximum1051
Range1051
Interquartile range (IQR)7

Descriptive statistics

Standard deviation14.21421126
Coefficient of variation (CV)2.17438767
Kurtosis165.2808827
Mean6.537109944
Median Absolute Deviation (MAD)2
Skewness8.514716867
Sum7129882
Variance202.0438017
MonotonicityNot monotonic
2023-02-05T18:19:51.345740image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 375213
27.1%
1 157315
11.4%
2 91279
 
6.6%
3 61949
 
4.5%
4 46062
 
3.3%
5 36806
 
2.7%
6 30209
 
2.2%
7 26245
 
1.9%
8 22687
 
1.6%
9 20241
 
1.5%
Other values (393) 222672
16.1%
(Missing) 293659
21.2%
ValueCountFrequency (%)
0 375213
27.1%
1 157315
11.4%
2 91279
 
6.6%
3 61949
 
4.5%
4 46062
 
3.3%
ValueCountFrequency (%)
1051 1
< 0.1%
549 1
< 0.1%
546 1
< 0.1%
538 1
< 0.1%
534 1
< 0.1%

QT_MAT_ESP_CC
Real number (ℝ)

MISSING  ZEROS 

Distinct212
Distinct (%)< 0.1%
Missing293659
Missing (%)21.2%
Infinite0
Infinite (%)0.0%
Mean5.635467113
Minimum0
Maximum1051
Zeros386624
Zeros (%)27.9%
Negative0
Negative (%)0.0%
Memory size10.6 MiB
2023-02-05T18:19:51.473958image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q37
95-th percentile25
Maximum1051
Range1051
Interquartile range (IQR)7

Descriptive statistics

Standard deviation10.06382818
Coefficient of variation (CV)1.785801954
Kurtosis157.4678371
Mean5.635467113
Median Absolute Deviation (MAD)2
Skewness5.226003284
Sum6146480
Variance101.2806377
MonotonicityNot monotonic
2023-02-05T18:19:51.602402image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 386624
27.9%
1 157503
11.4%
2 91484
 
6.6%
3 62185
 
4.5%
4 46345
 
3.3%
5 37070
 
2.7%
6 30460
 
2.2%
7 26449
 
1.9%
8 22845
 
1.7%
9 20364
 
1.5%
Other values (202) 209349
15.1%
(Missing) 293659
21.2%
ValueCountFrequency (%)
0 386624
27.9%
1 157503
11.4%
2 91484
 
6.6%
3 62185
 
4.5%
4 46345
 
3.3%
ValueCountFrequency (%)
1051 1
< 0.1%
515 1
< 0.1%
485 1
< 0.1%
474 1
< 0.1%
471 1
< 0.1%

QT_MAT_ESP_CE
Real number (ℝ)

MISSING  ZEROS 

Distinct397
Distinct (%)< 0.1%
Missing293659
Missing (%)21.2%
Infinite0
Infinite (%)0.0%
Mean0.9016428313
Minimum0
Maximum549
Zeros1070524
Zeros (%)77.3%
Negative0
Negative (%)0.0%
Memory size10.6 MiB
2023-02-05T18:19:51.730847image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum549
Range549
Interquartile range (IQR)0

Descriptive statistics

Standard deviation10.30048458
Coefficient of variation (CV)11.42412962
Kurtosis491.4509418
Mean0.9016428313
Median Absolute Deviation (MAD)0
Skewness18.77570938
Sum983402
Variance106.0999825
MonotonicityNot monotonic
2023-02-05T18:19:51.848878image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1070524
77.3%
9 630
 
< 0.1%
8 602
 
< 0.1%
6 592
 
< 0.1%
7 583
 
< 0.1%
10 571
 
< 0.1%
4 553
 
< 0.1%
1 519
 
< 0.1%
5 504
 
< 0.1%
3 475
 
< 0.1%
Other values (387) 15125
 
1.1%
(Missing) 293659
 
21.2%
ValueCountFrequency (%)
0 1070524
77.3%
1 519
 
< 0.1%
2 451
 
< 0.1%
3 475
 
< 0.1%
4 553
 
< 0.1%
ValueCountFrequency (%)
549 1
< 0.1%
546 1
< 0.1%
538 1
< 0.1%
534 1
< 0.1%
529 1
< 0.1%

QT_MAT_BAS_FEM
Real number (ℝ)

Distinct1914
Distinct (%)0.2%
Missing293659
Missing (%)21.2%
Infinite0
Infinite (%)0.0%
Mean129.8601879
Minimum0
Maximum24127
Zeros2705
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size10.6 MiB
2023-02-05T18:19:51.981098image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile6
Q128
median73
Q3172
95-th percentile441
Maximum24127
Range24127
Interquartile range (IQR)144

Descriptive statistics

Standard deviation168.7786008
Coefficient of variation (CV)1.299694722
Kurtosis1346.977576
Mean129.8601879
Median Absolute Deviation (MAD)56
Skewness14.41359231
Sum141635650
Variance28486.2161
MonotonicityNot monotonic
2023-02-05T18:19:52.108021image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7 13258
 
1.0%
6 12977
 
0.9%
8 12899
 
0.9%
5 12638
 
0.9%
9 12635
 
0.9%
10 12337
 
0.9%
11 11813
 
0.9%
12 11413
 
0.8%
4 11146
 
0.8%
13 10943
 
0.8%
Other values (1904) 968619
70.0%
(Missing) 293659
 
21.2%
ValueCountFrequency (%)
0 2705
 
0.2%
1 3737
 
0.3%
2 6013
0.4%
3 8786
0.6%
4 11146
0.8%
ValueCountFrequency (%)
24127 1
< 0.1%
21404 1
< 0.1%
20410 1
< 0.1%
20384 1
< 0.1%
18255 1
< 0.1%

QT_MAT_BAS_MASC
Real number (ℝ)

Distinct1883
Distinct (%)0.2%
Missing293659
Missing (%)21.2%
Infinite0
Infinite (%)0.0%
Mean133.8182837
Minimum-31170
Maximum29890
Zeros1018
Zeros (%)0.1%
Negative2
Negative (%)< 0.1%
Memory size10.6 MiB
2023-02-05T18:19:52.233885image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-31170
5-th percentile7
Q131
median79
Q3179
95-th percentile444
Maximum29890
Range61060
Interquartile range (IQR)148

Descriptive statistics

Standard deviation171.3125838
Coefficient of variation (CV)1.280188171
Kurtosis3425.464892
Mean133.8182837
Median Absolute Deviation (MAD)59
Skewness1.808072157
Sum145952658
Variance29348.00137
MonotonicityNot monotonic
2023-02-05T18:19:52.350546image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7 12135
 
0.9%
8 12120
 
0.9%
9 11905
 
0.9%
6 11662
 
0.8%
10 11529
 
0.8%
11 11311
 
0.8%
5 10935
 
0.8%
12 10757
 
0.8%
13 10375
 
0.7%
15 10055
 
0.7%
Other values (1873) 977894
70.6%
(Missing) 293659
 
21.2%
ValueCountFrequency (%)
-31170 1
 
< 0.1%
-31024 1
 
< 0.1%
0 1018
 
0.1%
1 2245
0.2%
2 4371
0.3%
ValueCountFrequency (%)
29890 1
< 0.1%
21211 1
< 0.1%
19486 1
< 0.1%
16492 1
< 0.1%
14722 1
< 0.1%

QT_MAT_BAS_ND
Real number (ℝ)

MISSING  ZEROS 

Distinct1922
Distinct (%)0.2%
Missing293659
Missing (%)21.2%
Infinite0
Infinite (%)0.0%
Mean74.20161037
Minimum0
Maximum21410
Zeros86525
Zeros (%)6.3%
Negative0
Negative (%)0.0%
Memory size10.6 MiB
2023-02-05T18:19:52.485790image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q16
median26
Q386
95-th percentile308
Maximum21410
Range21410
Interquartile range (IQR)80

Descriptive statistics

Standard deviation139.3104528
Coefficient of variation (CV)1.877458617
Kurtosis1098.608203
Mean74.20161037
Median Absolute Deviation (MAD)24
Skewness13.55408203
Sum80930064
Variance19407.40225
MonotonicityNot monotonic
2023-02-05T18:19:52.720695image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 86525
 
6.3%
1 51575
 
3.7%
2 40552
 
2.9%
3 33544
 
2.4%
4 28893
 
2.1%
5 25605
 
1.8%
6 23115
 
1.7%
7 21573
 
1.6%
8 19879
 
1.4%
9 18690
 
1.4%
Other values (1912) 740727
53.5%
(Missing) 293659
 
21.2%
ValueCountFrequency (%)
0 86525
6.3%
1 51575
3.7%
2 40552
2.9%
3 33544
 
2.4%
4 28893
 
2.1%
ValueCountFrequency (%)
21410 1
< 0.1%
16913 1
< 0.1%
16565 1
< 0.1%
12616 1
< 0.1%
11102 1
< 0.1%

QT_MAT_BAS_BRANCA
Real number (ℝ)

MISSING  ZEROS 

Distinct1870
Distinct (%)0.2%
Missing293659
Missing (%)21.2%
Infinite0
Infinite (%)0.0%
Mean83.7012583
Minimum-26230
Maximum28089
Zeros109742
Zeros (%)7.9%
Negative3
Negative (%)< 0.1%
Memory size10.6 MiB
2023-02-05T18:19:52.848737image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-26230
5-th percentile0
Q15
median30
Q399
95-th percentile356
Maximum28089
Range54319
Interquartile range (IQR)94

Descriptive statistics

Standard deviation152.7829353
Coefficient of variation (CV)1.825336182
Kurtosis3215.022369
Mean83.7012583
Median Absolute Deviation (MAD)29
Skewness7.134107839
Sum91291121
Variance23342.62532
MonotonicityNot monotonic
2023-02-05T18:19:52.982054image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 109742
 
7.9%
1 53055
 
3.8%
2 36884
 
2.7%
3 29324
 
2.1%
4 24674
 
1.8%
5 21490
 
1.6%
6 19547
 
1.4%
7 17844
 
1.3%
8 16316
 
1.2%
9 15023
 
1.1%
Other values (1860) 746779
53.9%
(Missing) 293659
 
21.2%
ValueCountFrequency (%)
-26230 1
 
< 0.1%
-19299 1
 
< 0.1%
-18980 1
 
< 0.1%
0 109742
7.9%
1 53055
3.8%
ValueCountFrequency (%)
28089 1
< 0.1%
26177 1
< 0.1%
12748 1
< 0.1%
9517 1
< 0.1%
7467 1
< 0.1%

QT_MAT_BAS_PRETA
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct604
Distinct (%)0.1%
Missing293659
Missing (%)21.2%
Infinite0
Infinite (%)0.0%
Mean8.982902378
Minimum0
Maximum6058
Zeros328445
Zeros (%)23.7%
Negative0
Negative (%)0.0%
Memory size10.6 MiB
2023-02-05T18:19:53.115895image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q39
95-th percentile39
Maximum6058
Range6058
Interquartile range (IQR)9

Descriptive statistics

Standard deviation23.76229546
Coefficient of variation (CV)2.645280385
Kurtosis6910.025205
Mean8.982902378
Median Absolute Deviation (MAD)2
Skewness37.68355205
Sum9797454
Variance564.6466856
MonotonicityNot monotonic
2023-02-05T18:19:53.240395image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 328445
23.7%
1 143326
10.4%
2 92577
 
6.7%
3 67484
 
4.9%
4 52512
 
3.8%
5 42104
 
3.0%
6 34937
 
2.5%
7 29716
 
2.1%
8 25311
 
1.8%
9 21704
 
1.6%
Other values (594) 252562
18.2%
(Missing) 293659
21.2%
ValueCountFrequency (%)
0 328445
23.7%
1 143326
10.4%
2 92577
 
6.7%
3 67484
 
4.9%
4 52512
 
3.8%
ValueCountFrequency (%)
6058 1
< 0.1%
5345 1
< 0.1%
3673 1
< 0.1%
1766 1
< 0.1%
1551 1
< 0.1%

QT_MAT_BAS_PARDA
Real number (ℝ)

MISSING  ZEROS 

Distinct1759
Distinct (%)0.2%
Missing293659
Missing (%)21.2%
Infinite0
Infinite (%)0.0%
Mean94.11636523
Minimum0
Maximum13146
Zeros56682
Zeros (%)4.1%
Negative0
Negative (%)0.0%
Memory size10.6 MiB
2023-02-05T18:19:53.369358image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q110
median38
Q3116
95-th percentile380
Maximum13146
Range13146
Interquartile range (IQR)106

Descriptive statistics

Standard deviation147.306023
Coefficient of variation (CV)1.565147811
Kurtosis141.0753493
Mean94.11636523
Median Absolute Deviation (MAD)34
Skewness4.993651053
Sum102650649
Variance21699.06443
MonotonicityNot monotonic
2023-02-05T18:19:53.503288image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 56682
 
4.1%
1 35356
 
2.6%
2 28989
 
2.1%
3 25731
 
1.9%
4 23269
 
1.7%
5 21826
 
1.6%
6 20549
 
1.5%
7 18965
 
1.4%
8 18486
 
1.3%
9 17401
 
1.3%
Other values (1749) 823424
59.5%
(Missing) 293659
 
21.2%
ValueCountFrequency (%)
0 56682
4.1%
1 35356
2.6%
2 28989
2.1%
3 25731
1.9%
4 23269
1.7%
ValueCountFrequency (%)
13146 1
< 0.1%
12574 1
< 0.1%
8402 1
< 0.1%
5894 1
< 0.1%
4880 1
< 0.1%

QT_MAT_BAS_AMARELA
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct221
Distinct (%)< 0.1%
Missing293659
Missing (%)21.2%
Infinite0
Infinite (%)0.0%
Mean0.8846057223
Minimum0
Maximum624
Zeros769696
Zeros (%)55.6%
Negative0
Negative (%)0.0%
Memory size10.6 MiB
2023-02-05T18:19:53.640241image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile4
Maximum624
Range624
Interquartile range (IQR)1

Descriptive statistics

Standard deviation3.997492136
Coefficient of variation (CV)4.518953513
Kurtosis4014.048213
Mean0.8846057223
Median Absolute Deviation (MAD)0
Skewness43.6657931
Sum964820
Variance15.97994338
MonotonicityNot monotonic
2023-02-05T18:19:53.764695image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 769696
55.6%
1 155838
 
11.3%
2 65198
 
4.7%
3 33616
 
2.4%
4 19440
 
1.4%
5 12385
 
0.9%
6 8137
 
0.6%
7 5575
 
0.4%
8 4024
 
0.3%
9 2833
 
0.2%
Other values (211) 13936
 
1.0%
(Missing) 293659
 
21.2%
ValueCountFrequency (%)
0 769696
55.6%
1 155838
 
11.3%
2 65198
 
4.7%
3 33616
 
2.4%
4 19440
 
1.4%
ValueCountFrequency (%)
624 1
< 0.1%
588 1
< 0.1%
587 1
< 0.1%
584 1
< 0.1%
567 1
< 0.1%

QT_MAT_BAS_INDIGENA
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct679
Distinct (%)0.1%
Missing293659
Missing (%)21.2%
Infinite0
Infinite (%)0.0%
Mean1.731642153
Minimum0
Maximum1543
Zeros908117
Zeros (%)65.6%
Negative0
Negative (%)0.0%
Memory size10.6 MiB
2023-02-05T18:19:53.902149image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile3
Maximum1543
Range1543
Interquartile range (IQR)0

Descriptive statistics

Standard deviation17.95944609
Coefficient of variation (CV)10.37133801
Kurtosis1287.057776
Mean1.731642153
Median Absolute Deviation (MAD)0
Skewness29.02045465
Sum1888664
Variance322.5417037
MonotonicityNot monotonic
2023-02-05T18:19:54.065759image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 908117
65.6%
1 99385
 
7.2%
2 28151
 
2.0%
3 11616
 
0.8%
4 6238
 
0.5%
5 3850
 
0.3%
6 2742
 
0.2%
7 2058
 
0.1%
8 1694
 
0.1%
9 1480
 
0.1%
Other values (669) 25347
 
1.8%
(Missing) 293659
 
21.2%
ValueCountFrequency (%)
0 908117
65.6%
1 99385
 
7.2%
2 28151
 
2.0%
3 11616
 
0.8%
4 6238
 
0.5%
ValueCountFrequency (%)
1543 1
< 0.1%
1511 1
< 0.1%
1509 1
< 0.1%
1489 1
< 0.1%
1428 1
< 0.1%

QT_MAT_BAS_0_3
Real number (ℝ)

MISSING  ZEROS 

Distinct567
Distinct (%)0.1%
Missing293659
Missing (%)21.2%
Infinite0
Infinite (%)0.0%
Mean18.84208722
Minimum0
Maximum2295
Zeros609750
Zeros (%)44.0%
Negative0
Negative (%)0.0%
Memory size10.6 MiB
2023-02-05T18:19:54.208399image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q317
95-th percentile105
Maximum2295
Range2295
Interquartile range (IQR)17

Descriptive statistics

Standard deviation40.62035143
Coefficient of variation (CV)2.155830772
Kurtosis58.43851787
Mean18.84208722
Median Absolute Deviation (MAD)0
Skewness4.153728643
Sum20550650
Variance1650.01295
MonotonicityNot monotonic
2023-02-05T18:19:54.331312image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 609750
44.0%
1 35455
 
2.6%
2 23662
 
1.7%
3 18610
 
1.3%
4 15681
 
1.1%
5 13782
 
1.0%
6 12160
 
0.9%
7 11001
 
0.8%
8 10309
 
0.7%
9 9815
 
0.7%
Other values (557) 330453
23.9%
(Missing) 293659
21.2%
ValueCountFrequency (%)
0 609750
44.0%
1 35455
 
2.6%
2 23662
 
1.7%
3 18610
 
1.3%
4 15681
 
1.1%
ValueCountFrequency (%)
2295 1
< 0.1%
2280 1
< 0.1%
2190 1
< 0.1%
2124 1
< 0.1%
2086 1
< 0.1%

QT_MAT_BAS_4_5
Real number (ℝ)

MISSING  ZEROS 

Distinct746
Distinct (%)0.1%
Missing293659
Missing (%)21.2%
Infinite0
Infinite (%)0.0%
Mean27.61782396
Minimum0
Maximum1211
Zeros352927
Zeros (%)25.5%
Negative0
Negative (%)0.0%
Memory size10.6 MiB
2023-02-05T18:19:54.458180image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median7
Q332
95-th percentile124
Maximum1211
Range1211
Interquartile range (IQR)32

Descriptive statistics

Standard deviation52.24626733
Coefficient of variation (CV)1.891759011
Kurtosis26.84623044
Mean27.61782396
Median Absolute Deviation (MAD)7
Skewness4.127101005
Sum30122153
Variance2729.672449
MonotonicityNot monotonic
2023-02-05T18:19:54.591421image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 352927
25.5%
1 40683
 
2.9%
2 31718
 
2.3%
3 29585
 
2.1%
4 28342
 
2.0%
5 25944
 
1.9%
6 24461
 
1.8%
7 22233
 
1.6%
8 20279
 
1.5%
9 18889
 
1.4%
Other values (736) 495617
35.8%
(Missing) 293659
21.2%
ValueCountFrequency (%)
0 352927
25.5%
1 40683
 
2.9%
2 31718
 
2.3%
3 29585
 
2.1%
4 28342
 
2.0%
ValueCountFrequency (%)
1211 1
< 0.1%
1139 1
< 0.1%
1102 1
< 0.1%
1090 1
< 0.1%
1080 1
< 0.1%

QT_MAT_BAS_6_10
Real number (ℝ)

MISSING  ZEROS 

Distinct1340
Distinct (%)0.1%
Missing293659
Missing (%)21.2%
Infinite0
Infinite (%)0.0%
Mean77.05418373
Minimum0
Maximum2882
Zeros247385
Zeros (%)17.9%
Negative0
Negative (%)0.0%
Memory size10.6 MiB
2023-02-05T18:19:54.722251image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median18
Q396
95-th percentile349
Maximum2882
Range2882
Interquartile range (IQR)95

Descriptive statistics

Standard deviation129.3080263
Coefficient of variation (CV)1.678144132
Kurtosis11.93519778
Mean77.05418373
Median Absolute Deviation (MAD)18
Skewness2.879972706
Sum84041303
Variance16720.56565
MonotonicityNot monotonic
2023-02-05T18:19:54.976823image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 247385
 
17.9%
1 37834
 
2.7%
2 26425
 
1.9%
3 21932
 
1.6%
4 20139
 
1.5%
5 19544
 
1.4%
6 18733
 
1.4%
7 17871
 
1.3%
8 16798
 
1.2%
9 16015
 
1.2%
Other values (1330) 648002
46.8%
(Missing) 293659
21.2%
ValueCountFrequency (%)
0 247385
17.9%
1 37834
 
2.7%
2 26425
 
1.9%
3 21932
 
1.6%
4 20139
 
1.5%
ValueCountFrequency (%)
2882 1
< 0.1%
2514 1
< 0.1%
2483 1
< 0.1%
2402 1
< 0.1%
2179 1
< 0.1%

QT_MAT_BAS_11_14
Real number (ℝ)

MISSING  ZEROS 

Distinct1283
Distinct (%)0.1%
Missing293659
Missing (%)21.2%
Infinite0
Infinite (%)0.0%
Mean64.19850497
Minimum0
Maximum2635
Zeros356420
Zeros (%)25.7%
Negative0
Negative (%)0.0%
Memory size10.6 MiB
2023-02-05T18:19:55.122220image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median6
Q364
95-th percentile341
Maximum2635
Range2635
Interquartile range (IQR)64

Descriptive statistics

Standard deviation126.0886064
Coefficient of variation (CV)1.964042721
Kurtosis12.45230372
Mean64.19850497
Median Absolute Deviation (MAD)6
Skewness3.075705968
Sum70019897
Variance15898.33666
MonotonicityNot monotonic
2023-02-05T18:19:55.252519image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 356420
25.7%
1 55923
 
4.0%
2 42429
 
3.1%
3 33597
 
2.4%
4 26715
 
1.9%
5 21589
 
1.6%
6 18330
 
1.3%
7 15345
 
1.1%
8 13557
 
1.0%
9 11716
 
0.8%
Other values (1273) 495057
35.8%
(Missing) 293659
21.2%
ValueCountFrequency (%)
0 356420
25.7%
1 55923
 
4.0%
2 42429
 
3.1%
3 33597
 
2.4%
4 26715
 
1.9%
ValueCountFrequency (%)
2635 1
< 0.1%
2464 1
< 0.1%
2172 1
< 0.1%
2038 1
< 0.1%
1830 1
< 0.1%

QT_MAT_BAS_15_17
Real number (ℝ)

MISSING  ZEROS 

Distinct1683
Distinct (%)0.2%
Missing293659
Missing (%)21.2%
Infinite0
Infinite (%)0.0%
Mean45.62314909
Minimum0
Maximum8941
Zeros561925
Zeros (%)40.6%
Negative0
Negative (%)0.0%
Memory size10.6 MiB
2023-02-05T18:19:55.380591image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q323
95-th percentile281
Maximum8941
Range8941
Interquartile range (IQR)23

Descriptive statistics

Standard deviation123.6205945
Coefficient of variation (CV)2.709602405
Kurtosis74.30405575
Mean45.62314909
Median Absolute Deviation (MAD)0
Skewness5.375470452
Sum49760165
Variance15282.05138
MonotonicityNot monotonic
2023-02-05T18:19:55.503939image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 561925
40.6%
1 65467
 
4.7%
2 32126
 
2.3%
3 21414
 
1.5%
4 16578
 
1.2%
5 13503
 
1.0%
6 11344
 
0.8%
7 9844
 
0.7%
8 8877
 
0.6%
9 8134
 
0.6%
Other values (1673) 341466
24.7%
(Missing) 293659
21.2%
ValueCountFrequency (%)
0 561925
40.6%
1 65467
 
4.7%
2 32126
 
2.3%
3 21414
 
1.5%
4 16578
 
1.2%
ValueCountFrequency (%)
8941 1
< 0.1%
7911 1
< 0.1%
4810 1
< 0.1%
2651 1
< 0.1%
2586 1
< 0.1%

QT_MAT_BAS_18_MAIS
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct2234
Distinct (%)0.2%
Missing293659
Missing (%)21.2%
Infinite0
Infinite (%)0.0%
Mean30.22254781
Minimum-31537
Maximum32694
Zeros650171
Zeros (%)47.0%
Negative4
Negative (%)< 0.1%
Memory size10.6 MiB
2023-02-05T18:19:55.627207image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-31537
5-th percentile0
Q10
median0
Q310
95-th percentile164
Maximum32694
Range64231
Interquartile range (IQR)10

Descriptive statistics

Standard deviation147.8117491
Coefficient of variation (CV)4.890777243
Kurtosis9697.78868
Mean30.22254781
Median Absolute Deviation (MAD)0
Skewness39.01168581
Sum32963068
Variance21848.31316
MonotonicityNot monotonic
2023-02-05T18:19:55.749220image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 650171
47.0%
1 61023
 
4.4%
2 27982
 
2.0%
3 18845
 
1.4%
4 14221
 
1.0%
5 11388
 
0.8%
6 9424
 
0.7%
7 8196
 
0.6%
8 7224
 
0.5%
9 6652
 
0.5%
Other values (2224) 275552
19.9%
(Missing) 293659
21.2%
ValueCountFrequency (%)
-31537 1
 
< 0.1%
-18483 1
 
< 0.1%
-10795 1
 
< 0.1%
-10665 1
 
< 0.1%
0 650171
47.0%
ValueCountFrequency (%)
32694 1
< 0.1%
32375 1
< 0.1%
27174 1
< 0.1%
25357 1
< 0.1%
20554 1
< 0.1%

QT_MAT_BAS_D
Real number (ℝ)

MISSING  ZEROS 

Distinct2623
Distinct (%)0.2%
Missing293659
Missing (%)21.2%
Infinite0
Infinite (%)0.0%
Mean234.4956596
Minimum0
Maximum6566
Zeros17013
Zeros (%)1.2%
Negative0
Negative (%)0.0%
Memory size10.6 MiB
2023-02-05T18:19:55.887125image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile11
Q153
median143
Q3324
95-th percentile765
Maximum6566
Range6566
Interquartile range (IQR)271

Descriptive statistics

Standard deviation262.3544894
Coefficient of variation (CV)1.118803179
Kurtosis11.46765775
Mean234.4956596
Median Absolute Deviation (MAD)109
Skewness2.422617858
Sum255759257
Variance68829.87808
MonotonicityNot monotonic
2023-02-05T18:19:56.012483image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 17013
 
1.2%
14 7105
 
0.5%
12 7074
 
0.5%
13 7068
 
0.5%
15 7022
 
0.5%
11 6985
 
0.5%
16 6800
 
0.5%
10 6631
 
0.5%
17 6588
 
0.5%
18 6525
 
0.5%
Other values (2613) 1011867
73.1%
(Missing) 293659
 
21.2%
ValueCountFrequency (%)
0 17013
1.2%
1 386
 
< 0.1%
2 522
 
< 0.1%
3 940
 
0.1%
4 1522
 
0.1%
ValueCountFrequency (%)
6566 1
< 0.1%
6522 1
< 0.1%
5611 1
< 0.1%
5266 1
< 0.1%
5150 1
< 0.1%

QT_MAT_BAS_N
Real number (ℝ)

MISSING  ZEROS 

Distinct1299
Distinct (%)0.1%
Missing293659
Missing (%)21.2%
Infinite0
Infinite (%)0.0%
Mean25.70724357
Minimum0
Maximum2997
Zeros870818
Zeros (%)62.9%
Negative0
Negative (%)0.0%
Memory size10.6 MiB
2023-02-05T18:19:56.143684image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile174
Maximum2997
Range2997
Interquartile range (IQR)0

Descriptive statistics

Standard deviation82.25496992
Coefficient of variation (CV)3.199680654
Kurtosis59.33320029
Mean25.70724357
Median Absolute Deviation (MAD)0
Skewness5.85836013
Sum28038325
Variance6765.880077
MonotonicityNot monotonic
2023-02-05T18:19:56.267252image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 870818
62.9%
15 3131
 
0.2%
16 2955
 
0.2%
20 2787
 
0.2%
17 2744
 
0.2%
14 2674
 
0.2%
19 2653
 
0.2%
18 2607
 
0.2%
21 2512
 
0.2%
13 2393
 
0.2%
Other values (1289) 195404
 
14.1%
(Missing) 293659
 
21.2%
ValueCountFrequency (%)
0 870818
62.9%
1 159
 
< 0.1%
2 172
 
< 0.1%
3 241
 
< 0.1%
4 369
 
< 0.1%
ValueCountFrequency (%)
2997 1
< 0.1%
2790 1
< 0.1%
2713 1
< 0.1%
2694 1
< 0.1%
2498 1
< 0.1%

QT_MAT_BAS_EAD
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct1655
Distinct (%)0.2%
Missing293659
Missing (%)21.2%
Infinite0
Infinite (%)0.0%
Mean3.235218827
Minimum-31547
Maximum32397
Zeros1083348
Zeros (%)78.3%
Negative6
Negative (%)< 0.1%
Memory size10.6 MiB
2023-02-05T18:19:56.398574image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-31547
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum32397
Range63944
Interquartile range (IQR)0

Descriptive statistics

Standard deviation117.1091517
Coefficient of variation (CV)36.19821656
Kurtosis24278.26173
Mean3.235218827
Median Absolute Deviation (MAD)0
Skewness28.24464228
Sum3528582
Variance13714.55342
MonotonicityNot monotonic
2023-02-05T18:19:56.517015image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1083348
78.3%
20 59
 
< 0.1%
19 54
 
< 0.1%
24 52
 
< 0.1%
11 48
 
< 0.1%
26 48
 
< 0.1%
23 48
 
< 0.1%
17 46
 
< 0.1%
35 46
 
< 0.1%
12 46
 
< 0.1%
Other values (1645) 6883
 
0.5%
(Missing) 293659
 
21.2%
ValueCountFrequency (%)
-31547 1
< 0.1%
-29410 1
< 0.1%
-24917 1
< 0.1%
-18488 1
< 0.1%
-10770 1
< 0.1%
ValueCountFrequency (%)
32397 1
< 0.1%
30185 1
< 0.1%
21210 1
< 0.1%
16773 1
< 0.1%
16240 1
< 0.1%

QT_MAT_INF_INT
Real number (ℝ)

MISSING  ZEROS 

Distinct626
Distinct (%)0.1%
Missing293659
Missing (%)21.2%
Infinite0
Infinite (%)0.0%
Mean14.28114989
Minimum0
Maximum2466
Zeros897829
Zeros (%)64.9%
Negative0
Negative (%)0.0%
Memory size10.6 MiB
2023-02-05T18:19:56.648355image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile105
Maximum2466
Range2466
Interquartile range (IQR)0

Descriptive statistics

Standard deviation41.76818573
Coefficient of variation (CV)2.924707467
Kurtosis78.76181225
Mean14.28114989
Median Absolute Deviation (MAD)0
Skewness5.075657093
Sum15576136
Variance1744.581339
MonotonicityNot monotonic
2023-02-05T18:19:56.894632image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 897829
64.9%
1 3093
 
0.2%
15 1785
 
0.1%
20 1757
 
0.1%
16 1612
 
0.1%
24 1593
 
0.1%
10 1588
 
0.1%
18 1582
 
0.1%
17 1581
 
0.1%
14 1572
 
0.1%
Other values (616) 176686
 
12.8%
(Missing) 293659
 
21.2%
ValueCountFrequency (%)
0 897829
64.9%
1 3093
 
0.2%
2 1562
 
0.1%
3 1344
 
0.1%
4 1406
 
0.1%
ValueCountFrequency (%)
2466 1
< 0.1%
2388 1
< 0.1%
2355 1
< 0.1%
2279 1
< 0.1%
2221 1
< 0.1%

QT_MAT_INF_CRE_INT
Real number (ℝ)

MISSING  ZEROS 

Distinct548
Distinct (%)0.1%
Missing293659
Missing (%)21.2%
Infinite0
Infinite (%)0.0%
Mean11.11509171
Minimum0
Maximum2466
Zeros918354
Zeros (%)66.3%
Negative0
Negative (%)0.0%
Memory size10.6 MiB
2023-02-05T18:19:57.025124image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile84
Maximum2466
Range2466
Interquartile range (IQR)0

Descriptive statistics

Standard deviation34.69011239
Coefficient of variation (CV)3.120992006
Kurtosis130.2073419
Mean11.11509171
Median Absolute Deviation (MAD)0
Skewness5.836165466
Sum12122986
Variance1203.403898
MonotonicityNot monotonic
2023-02-05T18:19:57.151522image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 918354
66.3%
15 1963
 
0.1%
20 1953
 
0.1%
16 1797
 
0.1%
10 1772
 
0.1%
18 1722
 
0.1%
17 1695
 
0.1%
14 1693
 
0.1%
12 1656
 
0.1%
11 1643
 
0.1%
Other values (538) 156430
 
11.3%
(Missing) 293659
 
21.2%
ValueCountFrequency (%)
0 918354
66.3%
1 1361
 
0.1%
2 1221
 
0.1%
3 1354
 
0.1%
4 1460
 
0.1%
ValueCountFrequency (%)
2466 1
< 0.1%
2388 1
< 0.1%
2355 1
< 0.1%
2279 1
< 0.1%
2221 1
< 0.1%

QT_MAT_INF_PRE_INT
Real number (ℝ)

MISSING  ZEROS 

Distinct347
Distinct (%)< 0.1%
Missing293659
Missing (%)21.2%
Infinite0
Infinite (%)0.0%
Mean3.166058177
Minimum0
Maximum629
Zeros1002771
Zeros (%)72.4%
Negative0
Negative (%)0.0%
Memory size10.6 MiB
2023-02-05T18:19:57.278645image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile20
Maximum629
Range629
Interquartile range (IQR)0

Descriptive statistics

Standard deviation15.17093236
Coefficient of variation (CV)4.791741502
Kurtosis86.3910554
Mean3.166058177
Median Absolute Deviation (MAD)0
Skewness7.612944261
Sum3453150
Variance230.1571888
MonotonicityNot monotonic
2023-02-05T18:19:57.402754image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1002771
72.4%
1 3456
 
0.2%
2 1817
 
0.1%
20 1795
 
0.1%
19 1684
 
0.1%
4 1619
 
0.1%
7 1607
 
0.1%
3 1601
 
0.1%
16 1593
 
0.1%
6 1577
 
0.1%
Other values (337) 71158
 
5.1%
(Missing) 293659
 
21.2%
ValueCountFrequency (%)
0 1002771
72.4%
1 3456
 
0.2%
2 1817
 
0.1%
3 1601
 
0.1%
4 1619
 
0.1%
ValueCountFrequency (%)
629 1
< 0.1%
555 1
< 0.1%
538 1
< 0.1%
493 1
< 0.1%
492 1
< 0.1%

QT_MAT_FUND_INT
Real number (ℝ)

MISSING  ZEROS 

Distinct967
Distinct (%)0.1%
Missing293659
Missing (%)21.2%
Infinite0
Infinite (%)0.0%
Mean14.36930973
Minimum0
Maximum2091
Zeros934284
Zeros (%)67.5%
Negative0
Negative (%)0.0%
Memory size10.6 MiB
2023-02-05T18:19:57.534474image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile100
Maximum2091
Range2091
Interquartile range (IQR)0

Descriptive statistics

Standard deviation56.28419708
Coefficient of variation (CV)3.916972919
Kurtosis59.93801176
Mean14.36930973
Median Absolute Deviation (MAD)0
Skewness6.454529619
Sum15672290
Variance3167.910841
MonotonicityNot monotonic
2023-02-05T18:19:57.655486image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 934284
67.5%
1 12042
 
0.9%
2 3504
 
0.3%
100 2616
 
0.2%
3 1999
 
0.1%
50 1546
 
0.1%
4 1538
 
0.1%
20 1524
 
0.1%
25 1505
 
0.1%
40 1431
 
0.1%
Other values (957) 128689
 
9.3%
(Missing) 293659
 
21.2%
ValueCountFrequency (%)
0 934284
67.5%
1 12042
 
0.9%
2 3504
 
0.3%
3 1999
 
0.1%
4 1538
 
0.1%
ValueCountFrequency (%)
2091 1
< 0.1%
1650 1
< 0.1%
1583 1
< 0.1%
1391 1
< 0.1%
1381 1
< 0.1%

QT_MAT_FUND_AI_INT
Real number (ℝ)

MISSING  ZEROS 

Distinct737
Distinct (%)0.1%
Missing293659
Missing (%)21.2%
Infinite0
Infinite (%)0.0%
Mean8.449796365
Minimum0
Maximum1223
Zeros970590
Zeros (%)70.1%
Negative0
Negative (%)0.0%
Memory size10.6 MiB
2023-02-05T18:19:57.778313image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile55
Maximum1223
Range1223
Interquartile range (IQR)0

Descriptive statistics

Standard deviation38.1053485
Coefficient of variation (CV)4.509617374
Kurtosis78.25308246
Mean8.449796365
Median Absolute Deviation (MAD)0
Skewness7.521893511
Sum9216007
Variance1452.017584
MonotonicityNot monotonic
2023-02-05T18:19:57.912453image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 970590
70.1%
1 8150
 
0.6%
2 2528
 
0.2%
20 1618
 
0.1%
25 1572
 
0.1%
3 1495
 
0.1%
40 1445
 
0.1%
50 1434
 
0.1%
30 1350
 
0.1%
21 1279
 
0.1%
Other values (727) 99217
 
7.2%
(Missing) 293659
 
21.2%
ValueCountFrequency (%)
0 970590
70.1%
1 8150
 
0.6%
2 2528
 
0.2%
3 1495
 
0.1%
4 1233
 
0.1%
ValueCountFrequency (%)
1223 1
< 0.1%
1118 1
< 0.1%
1101 1
< 0.1%
989 1
< 0.1%
934 1
< 0.1%

QT_MAT_FUND_AF_INT
Real number (ℝ)

MISSING  ZEROS 

Distinct803
Distinct (%)0.1%
Missing293659
Missing (%)21.2%
Infinite0
Infinite (%)0.0%
Mean5.919513367
Minimum0
Maximum1391
Zeros1011032
Zeros (%)73.0%
Negative0
Negative (%)0.0%
Memory size10.6 MiB
2023-02-05T18:19:58.042269image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile24
Maximum1391
Range1391
Interquartile range (IQR)0

Descriptive statistics

Standard deviation35.21461158
Coefficient of variation (CV)5.948903127
Kurtosis141.7045095
Mean5.919513367
Median Absolute Deviation (MAD)0
Skewness10.14599395
Sum6456283
Variance1240.068869
MonotonicityNot monotonic
2023-02-05T18:19:58.159937image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1011032
73.0%
1 6418
 
0.5%
2 1995
 
0.1%
25 1271
 
0.1%
3 1204
 
0.1%
50 1060
 
0.1%
20 1059
 
0.1%
4 967
 
0.1%
24 932
 
0.1%
30 858
 
0.1%
Other values (793) 63882
 
4.6%
(Missing) 293659
 
21.2%
ValueCountFrequency (%)
0 1011032
73.0%
1 6418
 
0.5%
2 1995
 
0.1%
3 1204
 
0.1%
4 967
 
0.1%
ValueCountFrequency (%)
1391 1
< 0.1%
1308 1
< 0.1%
1215 1
< 0.1%
1214 1
< 0.1%
1200 1
< 0.1%

QT_MAT_MED_INT
Real number (ℝ)

MISSING  ZEROS 

Distinct889
Distinct (%)0.1%
Missing293659
Missing (%)21.2%
Infinite0
Infinite (%)0.0%
Mean4.423818029
Minimum0
Maximum1844
Zeros1059937
Zeros (%)76.6%
Negative0
Negative (%)0.0%
Memory size10.6 MiB
2023-02-05T18:19:58.297045image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1844
Range1844
Interquartile range (IQR)0

Descriptive statistics

Standard deviation39.11459305
Coefficient of variation (CV)8.841817813
Kurtosis210.5204263
Mean4.423818029
Median Absolute Deviation (MAD)0
Skewness12.42949419
Sum4824961
Variance1529.951389
MonotonicityNot monotonic
2023-02-05T18:19:58.423799image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1059937
76.6%
1 2940
 
0.2%
2 814
 
0.1%
3 465
 
< 0.1%
4 291
 
< 0.1%
10 285
 
< 0.1%
5 280
 
< 0.1%
8 263
 
< 0.1%
9 230
 
< 0.1%
6 224
 
< 0.1%
Other values (879) 24949
 
1.8%
(Missing) 293659
 
21.2%
ValueCountFrequency (%)
0 1059937
76.6%
1 2940
 
0.2%
2 814
 
0.1%
3 465
 
< 0.1%
4 291
 
< 0.1%
ValueCountFrequency (%)
1844 1
< 0.1%
1828 1
< 0.1%
1805 1
< 0.1%
1802 1
< 0.1%
1794 1
< 0.1%

QT_DOC_BAS
Real number (ℝ)

Distinct286
Distinct (%)< 0.1%
Missing296093
Missing (%)21.4%
Infinite0
Infinite (%)0.0%
Mean15.47979313
Minimum1
Maximum382
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.6 MiB
2023-02-05T18:19:58.555794image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q15
median11
Q321
95-th percentile45
Maximum382
Range381
Interquartile range (IQR)16

Descriptive statistics

Standard deviation15.46499045
Coefficient of variation (CV)0.9990437413
Kurtosis18.97840357
Mean15.47979313
Median Absolute Deviation (MAD)7
Skewness2.817082511
Sum16845792
Variance239.1659295
MonotonicityNot monotonic
2023-02-05T18:19:58.685981image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 81468
 
5.9%
2 68018
 
4.9%
3 56210
 
4.1%
4 53813
 
3.9%
5 48435
 
3.5%
6 48206
 
3.5%
8 45081
 
3.3%
7 44033
 
3.2%
9 40237
 
2.9%
10 38958
 
2.8%
Other values (276) 563785
40.7%
(Missing) 296093
21.4%
ValueCountFrequency (%)
1 81468
5.9%
2 68018
4.9%
3 56210
4.1%
4 53813
3.9%
5 48435
3.5%
ValueCountFrequency (%)
382 1
< 0.1%
380 1
< 0.1%
350 1
< 0.1%
348 1
< 0.1%
343 1
< 0.1%

QT_DOC_INF
Real number (ℝ)

MISSING  ZEROS 

Distinct105
Distinct (%)< 0.1%
Missing296093
Missing (%)21.4%
Infinite0
Infinite (%)0.0%
Mean3.364783082
Minimum0
Maximum255
Zeros485860
Zeros (%)35.1%
Negative0
Negative (%)0.0%
Memory size10.6 MiB
2023-02-05T18:19:58.821350image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q35
95-th percentile14
Maximum255
Range255
Interquartile range (IQR)5

Descriptive statistics

Standard deviation5.490616852
Coefficient of variation (CV)1.631789247
Kurtosis20.41103769
Mean3.364783082
Median Absolute Deviation (MAD)1
Skewness3.19235922
Sum3661705
Variance30.14687341
MonotonicityNot monotonic
2023-02-05T18:19:59.081926image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 485860
35.1%
1 105564
 
7.6%
2 84942
 
6.1%
3 73647
 
5.3%
4 62527
 
4.5%
5 45149
 
3.3%
6 38624
 
2.8%
7 29271
 
2.1%
8 26759
 
1.9%
9 20295
 
1.5%
Other values (95) 115606
 
8.4%
(Missing) 296093
21.4%
ValueCountFrequency (%)
0 485860
35.1%
1 105564
 
7.6%
2 84942
 
6.1%
3 73647
 
5.3%
4 62527
 
4.5%
ValueCountFrequency (%)
255 1
< 0.1%
134 1
< 0.1%
116 1
< 0.1%
115 1
< 0.1%
108 1
< 0.1%

QT_DOC_INF_CRE
Real number (ℝ)

MISSING  ZEROS 

Distinct85
Distinct (%)< 0.1%
Missing296093
Missing (%)21.4%
Infinite0
Infinite (%)0.0%
Mean1.660699255
Minimum0
Maximum245
Zeros745687
Zeros (%)53.9%
Negative0
Negative (%)0.0%
Memory size10.6 MiB
2023-02-05T18:19:59.204438image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile9
Maximum245
Range245
Interquartile range (IQR)1

Descriptive statistics

Standard deviation4.025470634
Coefficient of variation (CV)2.423961245
Kurtosis44.3712545
Mean1.660699255
Median Absolute Deviation (MAD)0
Skewness4.701388605
Sum1807246
Variance16.20441383
MonotonicityNot monotonic
2023-02-05T18:19:59.336481image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 745687
53.9%
1 74789
 
5.4%
2 61028
 
4.4%
3 40071
 
2.9%
4 33586
 
2.4%
5 23535
 
1.7%
6 20832
 
1.5%
7 14657
 
1.1%
8 13165
 
1.0%
9 9514
 
0.7%
Other values (75) 51380
 
3.7%
(Missing) 296093
 
21.4%
ValueCountFrequency (%)
0 745687
53.9%
1 74789
 
5.4%
2 61028
 
4.4%
3 40071
 
2.9%
4 33586
 
2.4%
ValueCountFrequency (%)
245 1
< 0.1%
116 1
< 0.1%
109 1
< 0.1%
106 1
< 0.1%
92 1
< 0.1%

QT_DOC_INF_PRE
Real number (ℝ)

MISSING  ZEROS 

Distinct59
Distinct (%)< 0.1%
Missing296093
Missing (%)21.4%
Infinite0
Infinite (%)0.0%
Mean1.871452542
Minimum0
Maximum76
Zeros556106
Zeros (%)40.2%
Negative0
Negative (%)0.0%
Memory size10.6 MiB
2023-02-05T18:19:59.465390image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile8
Maximum76
Range76
Interquartile range (IQR)2

Descriptive statistics

Standard deviation3.192108305
Coefficient of variation (CV)1.70568488
Kurtosis15.57185293
Mean1.871452542
Median Absolute Deviation (MAD)0
Skewness3.134848158
Sum2036597
Variance10.18955543
MonotonicityNot monotonic
2023-02-05T18:19:59.593019image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 556106
40.2%
1 133646
 
9.7%
2 133012
 
9.6%
3 66081
 
4.8%
4 54742
 
4.0%
5 33304
 
2.4%
6 27186
 
2.0%
7 18966
 
1.4%
8 15803
 
1.1%
9 10700
 
0.8%
Other values (49) 38698
 
2.8%
(Missing) 296093
21.4%
ValueCountFrequency (%)
0 556106
40.2%
1 133646
 
9.7%
2 133012
 
9.6%
3 66081
 
4.8%
4 54742
 
4.0%
ValueCountFrequency (%)
76 1
 
< 0.1%
64 1
 
< 0.1%
63 2
< 0.1%
62 3
< 0.1%
61 1
 
< 0.1%

QT_DOC_FUND
Real number (ℝ)

MISSING  ZEROS 

Distinct168
Distinct (%)< 0.1%
Missing296093
Missing (%)21.4%
Infinite0
Infinite (%)0.0%
Mean9.223982857
Minimum0
Maximum238
Zeros319192
Zeros (%)23.1%
Negative0
Negative (%)0.0%
Memory size10.6 MiB
2023-02-05T18:19:59.734136image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median5
Q315
95-th percentile32
Maximum238
Range238
Interquartile range (IQR)15

Descriptive statistics

Standard deviation11.62842968
Coefficient of variation (CV)1.260673384
Kurtosis6.909294006
Mean9.223982857
Median Absolute Deviation (MAD)5
Skewness1.938870895
Sum10037944
Variance135.2203769
MonotonicityNot monotonic
2023-02-05T18:19:59.870736image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 319192
23.1%
1 88275
 
6.4%
2 62521
 
4.5%
3 40715
 
2.9%
5 35537
 
2.6%
4 33366
 
2.4%
6 28717
 
2.1%
7 26366
 
1.9%
12 25760
 
1.9%
10 25643
 
1.9%
Other values (158) 402152
29.1%
(Missing) 296093
21.4%
ValueCountFrequency (%)
0 319192
23.1%
1 88275
 
6.4%
2 62521
 
4.5%
3 40715
 
2.9%
4 33366
 
2.4%
ValueCountFrequency (%)
238 1
< 0.1%
228 1
< 0.1%
222 1
< 0.1%
213 1
< 0.1%
174 2
< 0.1%

QT_DOC_FUND_AI
Real number (ℝ)

MISSING  ZEROS 

Distinct99
Distinct (%)< 0.1%
Missing296093
Missing (%)21.4%
Infinite0
Infinite (%)0.0%
Mean4.59051187
Minimum0
Maximum134
Zeros511304
Zeros (%)36.9%
Negative0
Negative (%)0.0%
Memory size10.6 MiB
2023-02-05T18:20:00.003655image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q37
95-th percentile19
Maximum134
Range134
Interquartile range (IQR)7

Descriptive statistics

Standard deviation7.107048574
Coefficient of variation (CV)1.548203942
Kurtosis7.594959749
Mean4.59051187
Median Absolute Deviation (MAD)1
Skewness2.303828825
Sum4995597
Variance50.51013944
MonotonicityNot monotonic
2023-02-05T18:20:00.155201image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 511304
36.9%
1 100212
 
7.2%
5 47496
 
3.4%
6 39461
 
2.9%
7 38409
 
2.8%
8 34079
 
2.5%
2 31918
 
2.3%
3 30609
 
2.2%
4 29726
 
2.1%
9 28115
 
2.0%
Other values (89) 196915
 
14.2%
(Missing) 296093
21.4%
ValueCountFrequency (%)
0 511304
36.9%
1 100212
 
7.2%
2 31918
 
2.3%
3 30609
 
2.2%
4 29726
 
2.1%
ValueCountFrequency (%)
134 1
< 0.1%
124 1
< 0.1%
121 1
< 0.1%
112 2
< 0.1%
108 1
< 0.1%

QT_DOC_FUND_AF
Real number (ℝ)

MISSING  ZEROS 

Distinct119
Distinct (%)< 0.1%
Missing296093
Missing (%)21.4%
Infinite0
Infinite (%)0.0%
Mean5.149716424
Minimum0
Maximum129
Zeros581429
Zeros (%)42.0%
Negative0
Negative (%)0.0%
Memory size10.6 MiB
2023-02-05T18:20:00.298538image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q38
95-th percentile24
Maximum129
Range129
Interquartile range (IQR)8

Descriptive statistics

Standard deviation8.669200486
Coefficient of variation (CV)1.683432596
Kurtosis7.22694261
Mean5.149716424
Median Absolute Deviation (MAD)0
Skewness2.301244918
Sum5604148
Variance75.15503707
MonotonicityNot monotonic
2023-02-05T18:20:00.438173image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 581429
42.0%
1 75205
 
5.4%
2 49305
 
3.6%
8 26708
 
1.9%
9 26376
 
1.9%
10 23669
 
1.7%
7 22250
 
1.6%
11 21293
 
1.5%
3 18954
 
1.4%
12 18783
 
1.4%
Other values (109) 224272
 
16.2%
(Missing) 296093
21.4%
ValueCountFrequency (%)
0 581429
42.0%
1 75205
 
5.4%
2 49305
 
3.6%
3 18954
 
1.4%
4 15016
 
1.1%
ValueCountFrequency (%)
129 1
< 0.1%
120 1
< 0.1%
118 2
< 0.1%
117 1
< 0.1%
115 1
< 0.1%

QT_DOC_MED
Real number (ℝ)

MISSING  ZEROS 

Distinct220
Distinct (%)< 0.1%
Missing296093
Missing (%)21.4%
Infinite0
Infinite (%)0.0%
Mean3.482917434
Minimum0
Maximum367
Zeros915707
Zeros (%)66.1%
Negative0
Negative (%)0.0%
Memory size10.6 MiB
2023-02-05T18:20:00.574128image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile24
Maximum367
Range367
Interquartile range (IQR)0

Descriptive statistics

Standard deviation9.868035824
Coefficient of variation (CV)2.833267228
Kurtosis42.53779015
Mean3.482917434
Median Absolute Deviation (MAD)0
Skewness4.618756217
Sum3790264
Variance97.37813102
MonotonicityNot monotonic
2023-02-05T18:20:00.699220image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 915707
66.1%
12 10614
 
0.8%
13 10279
 
0.7%
14 9315
 
0.7%
11 8846
 
0.6%
15 8527
 
0.6%
16 7617
 
0.6%
17 6854
 
0.5%
18 6456
 
0.5%
10 6215
 
0.4%
Other values (210) 97814
 
7.1%
(Missing) 296093
 
21.4%
ValueCountFrequency (%)
0 915707
66.1%
1 411
 
< 0.1%
2 391
 
< 0.1%
3 523
 
< 0.1%
4 671
 
< 0.1%
ValueCountFrequency (%)
367 1
< 0.1%
351 1
< 0.1%
330 1
< 0.1%
310 1
< 0.1%
300 1
< 0.1%

QT_DOC_PROF
Real number (ℝ)

MISSING  ZEROS 

Distinct259
Distinct (%)< 0.1%
Missing296093
Missing (%)21.4%
Infinite0
Infinite (%)0.0%
Mean0.7671055388
Minimum0
Maximum382
Zeros1046194
Zeros (%)75.6%
Negative0
Negative (%)0.0%
Memory size10.6 MiB
2023-02-05T18:20:00.842615image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum382
Range382
Interquartile range (IQR)0

Descriptive statistics

Standard deviation6.092418917
Coefficient of variation (CV)7.942086986
Kurtosis477.2126998
Mean0.7671055388
Median Absolute Deviation (MAD)0
Skewness16.75871037
Sum834798
Variance37.11756825
MonotonicityNot monotonic
2023-02-05T18:20:01.095985image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1046194
75.6%
4 2351
 
0.2%
2 2200
 
0.2%
5 2087
 
0.2%
3 2008
 
0.1%
6 1929
 
0.1%
7 1770
 
0.1%
1 1646
 
0.1%
8 1620
 
0.1%
10 1543
 
0.1%
Other values (249) 24896
 
1.8%
(Missing) 296093
 
21.4%
ValueCountFrequency (%)
0 1046194
75.6%
1 1646
 
0.1%
2 2200
 
0.2%
3 2008
 
0.1%
4 2351
 
0.2%
ValueCountFrequency (%)
382 1
< 0.1%
380 1
< 0.1%
350 1
< 0.1%
348 1
< 0.1%
343 1
< 0.1%

QT_DOC_PROF_TEC
Real number (ℝ)

MISSING  ZEROS 

Distinct258
Distinct (%)< 0.1%
Missing296093
Missing (%)21.4%
Infinite0
Infinite (%)0.0%
Mean0.7488109284
Minimum0
Maximum382
Zeros1048868
Zeros (%)75.8%
Negative0
Negative (%)0.0%
Memory size10.6 MiB
2023-02-05T18:20:01.237670image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum382
Range382
Interquartile range (IQR)0

Descriptive statistics

Standard deviation6.055866864
Coefficient of variation (CV)8.087311008
Kurtosis485.8510689
Mean0.7488109284
Median Absolute Deviation (MAD)0
Skewness16.91905742
Sum814889
Variance36.67352348
MonotonicityNot monotonic
2023-02-05T18:20:01.372572image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1048868
75.8%
2 1970
 
0.1%
5 1837
 
0.1%
4 1822
 
0.1%
6 1755
 
0.1%
3 1586
 
0.1%
7 1559
 
0.1%
8 1528
 
0.1%
10 1489
 
0.1%
9 1465
 
0.1%
Other values (248) 24365
 
1.8%
(Missing) 296093
 
21.4%
ValueCountFrequency (%)
0 1048868
75.8%
1 1391
 
0.1%
2 1970
 
0.1%
3 1586
 
0.1%
4 1822
 
0.1%
ValueCountFrequency (%)
382 1
< 0.1%
380 1
< 0.1%
350 1
< 0.1%
348 1
< 0.1%
343 1
< 0.1%

QT_DOC_EJA
Real number (ℝ)

MISSING  ZEROS 

Distinct143
Distinct (%)< 0.1%
Missing296093
Missing (%)21.4%
Infinite0
Infinite (%)0.0%
Mean1.384347628
Minimum0
Maximum205
Zeros905913
Zeros (%)65.4%
Negative0
Negative (%)0.0%
Memory size10.6 MiB
2023-02-05T18:20:01.510546image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile11
Maximum205
Range205
Interquartile range (IQR)0

Descriptive statistics

Standard deviation4.527659459
Coefficient of variation (CV)3.270608746
Kurtosis99.23327458
Mean1.384347628
Median Absolute Deviation (MAD)0
Skewness6.478853386
Sum1506508
Variance20.49970018
MonotonicityNot monotonic
2023-02-05T18:20:01.633808image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 905913
65.4%
1 36690
 
2.7%
2 16877
 
1.2%
8 9841
 
0.7%
3 9627
 
0.7%
9 9431
 
0.7%
7 9234
 
0.7%
4 8997
 
0.6%
10 8914
 
0.6%
6 8670
 
0.6%
Other values (133) 64050
 
4.6%
(Missing) 296093
 
21.4%
ValueCountFrequency (%)
0 905913
65.4%
1 36690
 
2.7%
2 16877
 
1.2%
3 9627
 
0.7%
4 8997
 
0.6%
ValueCountFrequency (%)
205 1
< 0.1%
199 1
< 0.1%
198 1
< 0.1%
195 1
< 0.1%
192 1
< 0.1%

QT_DOC_EJA_FUND
Real number (ℝ)

MISSING  ZEROS 

Distinct118
Distinct (%)< 0.1%
Missing296093
Missing (%)21.4%
Infinite0
Infinite (%)0.0%
Mean0.8716105947
Minimum0
Maximum174
Zeros937323
Zeros (%)67.7%
Negative0
Negative (%)0.0%
Memory size10.6 MiB
2023-02-05T18:20:01.763194image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile7
Maximum174
Range174
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.184849496
Coefficient of variation (CV)3.653982083
Kurtosis120.4141973
Mean0.8716105947
Median Absolute Deviation (MAD)0
Skewness7.35146961
Sum948525
Variance10.14326631
MonotonicityNot monotonic
2023-02-05T18:20:01.893079image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 937323
67.7%
1 36914
 
2.7%
2 17123
 
1.2%
8 9895
 
0.7%
3 9530
 
0.7%
7 9509
 
0.7%
9 8994
 
0.6%
4 8749
 
0.6%
6 8525
 
0.6%
5 8111
 
0.6%
Other values (108) 33571
 
2.4%
(Missing) 296093
 
21.4%
ValueCountFrequency (%)
0 937323
67.7%
1 36914
 
2.7%
2 17123
 
1.2%
3 9530
 
0.7%
4 8749
 
0.6%
ValueCountFrequency (%)
174 1
< 0.1%
151 1
< 0.1%
140 1
< 0.1%
134 1
< 0.1%
133 1
< 0.1%

QT_DOC_EJA_MED
Real number (ℝ)

MISSING  ZEROS 

Distinct117
Distinct (%)< 0.1%
Missing296093
Missing (%)21.4%
Infinite0
Infinite (%)0.0%
Mean0.6688022171
Minimum0
Maximum197
Zeros1030958
Zeros (%)74.5%
Negative0
Negative (%)0.0%
Memory size10.6 MiB
2023-02-05T18:20:02.034774image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile3
Maximum197
Range197
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.343874347
Coefficient of variation (CV)4.999795547
Kurtosis132.9730912
Mean0.6688022171
Median Absolute Deviation (MAD)0
Skewness7.938914509
Sum727820
Variance11.18149565
MonotonicityNot monotonic
2023-02-05T18:20:02.168892image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1030958
74.5%
12 4972
 
0.4%
11 4784
 
0.3%
10 4358
 
0.3%
13 3833
 
0.3%
9 3746
 
0.3%
8 3386
 
0.2%
14 3320
 
0.2%
15 2809
 
0.2%
7 2621
 
0.2%
Other values (107) 23457
 
1.7%
(Missing) 296093
 
21.4%
ValueCountFrequency (%)
0 1030958
74.5%
1 918
 
0.1%
2 875
 
0.1%
3 1301
 
0.1%
4 1900
 
0.1%
ValueCountFrequency (%)
197 1
< 0.1%
195 1
< 0.1%
177 1
< 0.1%
171 1
< 0.1%
150 1
< 0.1%

QT_DOC_ESP
Real number (ℝ)

MISSING  ZEROS 

Distinct218
Distinct (%)< 0.1%
Missing296093
Missing (%)21.4%
Infinite0
Infinite (%)0.0%
Mean8.219284462
Minimum0
Maximum252
Zeros374392
Zeros (%)27.0%
Negative0
Negative (%)0.0%
Memory size10.6 MiB
2023-02-05T18:20:02.304121image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q312
95-th percentile33
Maximum252
Range252
Interquartile range (IQR)12

Descriptive statistics

Standard deviation12.07509928
Coefficient of variation (CV)1.469118065
Kurtosis14.5645168
Mean8.219284462
Median Absolute Deviation (MAD)3
Skewness2.701497999
Sum8944587
Variance145.8080227
MonotonicityNot monotonic
2023-02-05T18:20:02.438168image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 374392
27.0%
1 92360
 
6.7%
2 62224
 
4.5%
3 44282
 
3.2%
4 38281
 
2.8%
5 31432
 
2.3%
6 29400
 
2.1%
8 28457
 
2.1%
7 28144
 
2.0%
9 27031
 
2.0%
Other values (208) 332241
24.0%
(Missing) 296093
21.4%
ValueCountFrequency (%)
0 374392
27.0%
1 92360
 
6.7%
2 62224
 
4.5%
3 44282
 
3.2%
4 38281
 
2.8%
ValueCountFrequency (%)
252 1
< 0.1%
237 1
< 0.1%
226 1
< 0.1%
225 1
< 0.1%
224 2
< 0.1%

QT_DOC_ESP_CC
Real number (ℝ)

MISSING  ZEROS 

Distinct218
Distinct (%)< 0.1%
Missing296093
Missing (%)21.4%
Infinite0
Infinite (%)0.0%
Mean8.086492551
Minimum0
Maximum252
Zeros385799
Zeros (%)27.9%
Negative0
Negative (%)0.0%
Memory size10.6 MiB
2023-02-05T18:20:02.585588image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q312
95-th percentile33
Maximum252
Range252
Interquartile range (IQR)12

Descriptive statistics

Standard deviation12.05039164
Coefficient of variation (CV)1.490187689
Kurtosis14.72023069
Mean8.086492551
Median Absolute Deviation (MAD)3
Skewness2.722945575
Sum8800077
Variance145.2119388
MonotonicityNot monotonic
2023-02-05T18:20:02.719031image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 385799
27.9%
1 92064
 
6.7%
2 61820
 
4.5%
3 43802
 
3.2%
4 37694
 
2.7%
5 30915
 
2.2%
6 28606
 
2.1%
8 27749
 
2.0%
7 27361
 
2.0%
9 26301
 
1.9%
Other values (208) 326133
23.6%
(Missing) 296093
21.4%
ValueCountFrequency (%)
0 385799
27.9%
1 92064
 
6.7%
2 61820
 
4.5%
3 43802
 
3.2%
4 37694
 
2.7%
ValueCountFrequency (%)
252 1
< 0.1%
237 1
< 0.1%
226 1
< 0.1%
225 1
< 0.1%
224 2
< 0.1%

QT_DOC_ESP_CE
Real number (ℝ)

MISSING  ZEROS 

Distinct83
Distinct (%)< 0.1%
Missing296093
Missing (%)21.4%
Infinite0
Infinite (%)0.0%
Mean0.1452771621
Minimum0
Maximum105
Zeros1068117
Zeros (%)77.2%
Negative0
Negative (%)0.0%
Memory size10.6 MiB
2023-02-05T18:20:02.856618image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum105
Range105
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.506981079
Coefficient of variation (CV)10.37314508
Kurtosis506.5439942
Mean0.1452771621
Median Absolute Deviation (MAD)0
Skewness17.96192599
Sum158097
Variance2.270991972
MonotonicityNot monotonic
2023-02-05T18:20:03.126330image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1068117
77.2%
2 2398
 
0.2%
1 2279
 
0.2%
3 2175
 
0.2%
4 1985
 
0.1%
5 1396
 
0.1%
6 1270
 
0.1%
7 1055
 
0.1%
8 978
 
0.1%
9 860
 
0.1%
Other values (73) 5731
 
0.4%
(Missing) 296093
 
21.4%
ValueCountFrequency (%)
0 1068117
77.2%
1 2279
 
0.2%
2 2398
 
0.2%
3 2175
 
0.2%
4 1985
 
0.1%
ValueCountFrequency (%)
105 1
< 0.1%
101 2
< 0.1%
97 1
< 0.1%
96 1
< 0.1%
93 1
< 0.1%

QT_TUR_BAS
Real number (ℝ)

Distinct251
Distinct (%)< 0.1%
Missing293659
Missing (%)21.2%
Infinite0
Infinite (%)0.0%
Mean11.85974229
Minimum1
Maximum926
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.6 MiB
2023-02-05T18:20:03.263852image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q14
median9
Q316
95-th percentile32
Maximum926
Range925
Interquartile range (IQR)12

Descriptive statistics

Standard deviation10.92935319
Coefficient of variation (CV)0.9215506483
Kurtosis214.0153215
Mean11.85974229
Median Absolute Deviation (MAD)5
Skewness5.717352002
Sum12935160
Variance119.4507613
MonotonicityNot monotonic
2023-02-05T18:20:03.388207image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2 74654
 
5.4%
1 72181
 
5.2%
4 65397
 
4.7%
3 63666
 
4.6%
8 63343
 
4.6%
6 62497
 
4.5%
7 56937
 
4.1%
5 56855
 
4.1%
10 53860
 
3.9%
12 49692
 
3.6%
Other values (241) 471596
34.1%
(Missing) 293659
21.2%
ValueCountFrequency (%)
1 72181
5.2%
2 74654
5.4%
3 63666
4.6%
4 65397
4.7%
5 56855
4.1%
ValueCountFrequency (%)
926 1
< 0.1%
880 1
< 0.1%
781 1
< 0.1%
764 1
< 0.1%
675 1
< 0.1%

QT_TUR_INF
Real number (ℝ)

MISSING  ZEROS 

Distinct78
Distinct (%)< 0.1%
Missing293659
Missing (%)21.2%
Infinite0
Infinite (%)0.0%
Mean2.925462877
Minimum0
Maximum126
Zeros485758
Zeros (%)35.1%
Negative0
Negative (%)0.0%
Memory size10.6 MiB
2023-02-05T18:20:03.511159image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q34
95-th percentile12
Maximum126
Range126
Interquartile range (IQR)4

Descriptive statistics

Standard deviation4.392601343
Coefficient of variation (CV)1.501506438
Kurtosis12.64786925
Mean2.925462877
Median Absolute Deviation (MAD)1
Skewness2.570364172
Sum3190738
Variance19.29494656
MonotonicityNot monotonic
2023-02-05T18:20:03.647652image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 485758
35.1%
1 113462
 
8.2%
2 91091
 
6.6%
4 72533
 
5.2%
3 68986
 
5.0%
6 46641
 
3.4%
5 43873
 
3.2%
8 33457
 
2.4%
7 26083
 
1.9%
10 20193
 
1.5%
Other values (68) 88601
 
6.4%
(Missing) 293659
21.2%
ValueCountFrequency (%)
0 485758
35.1%
1 113462
 
8.2%
2 91091
 
6.6%
3 68986
 
5.0%
4 72533
 
5.2%
ValueCountFrequency (%)
126 1
< 0.1%
119 1
< 0.1%
114 1
< 0.1%
113 1
< 0.1%
112 2
< 0.1%

QT_TUR_INF_CRE
Real number (ℝ)

MISSING  ZEROS 

Distinct65
Distinct (%)< 0.1%
Missing293659
Missing (%)21.2%
Infinite0
Infinite (%)0.0%
Mean1.339522756
Minimum0
Maximum121
Zeros741087
Zeros (%)53.5%
Negative0
Negative (%)0.0%
Memory size10.6 MiB
2023-02-05T18:20:03.785239image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile7
Maximum121
Range121
Interquartile range (IQR)1

Descriptive statistics

Standard deviation2.894165698
Coefficient of variation (CV)2.160594649
Kurtosis33.99695997
Mean1.339522756
Median Absolute Deviation (MAD)0
Skewness3.943439941
Sum1460988
Variance8.376195087
MonotonicityNot monotonic
2023-02-05T18:20:03.918235image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 741087
53.5%
1 80100
 
5.8%
2 66301
 
4.8%
4 46237
 
3.3%
3 44915
 
3.2%
5 25205
 
1.8%
6 23512
 
1.7%
7 14527
 
1.0%
8 12381
 
0.9%
9 8162
 
0.6%
Other values (55) 28251
 
2.0%
(Missing) 293659
 
21.2%
ValueCountFrequency (%)
0 741087
53.5%
1 80100
 
5.8%
2 66301
 
4.8%
3 44915
 
3.2%
4 46237
 
3.3%
ValueCountFrequency (%)
121 1
 
< 0.1%
113 1
 
< 0.1%
112 3
< 0.1%
110 1
 
< 0.1%
67 1
 
< 0.1%

QT_TUR_INF_PRE
Real number (ℝ)

MISSING  ZEROS 

Distinct54
Distinct (%)< 0.1%
Missing293659
Missing (%)21.2%
Infinite0
Infinite (%)0.0%
Mean1.585940122
Minimum0
Maximum60
Zeros558443
Zeros (%)40.3%
Negative0
Negative (%)0.0%
Memory size10.6 MiB
2023-02-05T18:20:04.064254image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile7
Maximum60
Range60
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.628978762
Coefficient of variation (CV)1.657678449
Kurtosis16.56594771
Mean1.585940122
Median Absolute Deviation (MAD)0
Skewness3.143305948
Sum1729750
Variance6.91152933
MonotonicityNot monotonic
2023-02-05T18:20:04.194683image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 558443
40.3%
2 162325
 
11.7%
1 145975
 
10.5%
4 70128
 
5.1%
3 50398
 
3.6%
6 25151
 
1.8%
5 22390
 
1.6%
8 14191
 
1.0%
7 11242
 
0.8%
10 7331
 
0.5%
Other values (44) 23104
 
1.7%
(Missing) 293659
21.2%
ValueCountFrequency (%)
0 558443
40.3%
1 145975
 
10.5%
2 162325
 
11.7%
3 50398
 
3.6%
4 70128
 
5.1%
ValueCountFrequency (%)
60 1
 
< 0.1%
57 1
 
< 0.1%
56 2
< 0.1%
55 1
 
< 0.1%
50 3
< 0.1%

QT_TUR_FUND
Real number (ℝ)

MISSING  ZEROS 

Distinct107
Distinct (%)< 0.1%
Missing293659
Missing (%)21.2%
Infinite0
Infinite (%)0.0%
Mean6.546990954
Minimum0
Maximum167
Zeros321587
Zeros (%)23.2%
Negative0
Negative (%)0.0%
Memory size10.6 MiB
2023-02-05T18:20:04.340011image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median4
Q310
95-th percentile22
Maximum167
Range167
Interquartile range (IQR)10

Descriptive statistics

Standard deviation7.915865365
Coefficient of variation (CV)1.209084512
Kurtosis5.398226037
Mean6.546990954
Median Absolute Deviation (MAD)4
Skewness1.820136707
Sum7140659
Variance62.66092447
MonotonicityNot monotonic
2023-02-05T18:20:04.476711image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 321587
23.2%
1 90781
 
6.6%
2 74066
 
5.4%
5 67614
 
4.9%
9 66846
 
4.8%
4 44476
 
3.2%
3 40123
 
2.9%
10 39818
 
2.9%
8 36266
 
2.6%
6 31343
 
2.3%
Other values (97) 277758
20.1%
(Missing) 293659
21.2%
ValueCountFrequency (%)
0 321587
23.2%
1 90781
 
6.6%
2 74066
 
5.4%
3 40123
 
2.9%
4 44476
 
3.2%
ValueCountFrequency (%)
167 1
< 0.1%
166 1
< 0.1%
146 1
< 0.1%
133 1
< 0.1%
118 1
< 0.1%

QT_TUR_FUND_AI
Real number (ℝ)

MISSING  ZEROS 

Distinct75
Distinct (%)< 0.1%
Missing293659
Missing (%)21.2%
Infinite0
Infinite (%)0.0%
Mean3.750331445
Minimum0
Maximum101
Zeros513691
Zeros (%)37.1%
Negative0
Negative (%)0.0%
Memory size10.6 MiB
2023-02-05T18:20:04.623512image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q35
95-th percentile16
Maximum101
Range101
Interquartile range (IQR)5

Descriptive statistics

Standard deviation5.666533741
Coefficient of variation (CV)1.510942119
Kurtosis6.689665199
Mean3.750331445
Median Absolute Deviation (MAD)1
Skewness2.190560703
Sum4090404
Variance32.10960464
MonotonicityNot monotonic
2023-02-05T18:20:04.760123image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 513691
37.1%
5 125965
 
9.1%
1 119193
 
8.6%
10 43211
 
3.1%
6 31875
 
2.3%
3 29351
 
2.1%
8 23499
 
1.7%
7 21569
 
1.6%
2 21440
 
1.5%
4 20647
 
1.5%
Other values (65) 140237
 
10.1%
(Missing) 293659
21.2%
ValueCountFrequency (%)
0 513691
37.1%
1 119193
 
8.6%
2 21440
 
1.5%
3 29351
 
2.1%
4 20647
 
1.5%
ValueCountFrequency (%)
101 1
< 0.1%
88 2
< 0.1%
82 1
< 0.1%
81 1
< 0.1%
77 1
< 0.1%

QT_TUR_FUND_AF
Real number (ℝ)

MISSING  ZEROS 

Distinct72
Distinct (%)< 0.1%
Missing293659
Missing (%)21.2%
Infinite0
Infinite (%)0.0%
Mean2.796659509
Minimum0
Maximum101
Zeros583828
Zeros (%)42.2%
Negative0
Negative (%)0.0%
Memory size10.6 MiB
2023-02-05T18:20:04.897415image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q34
95-th percentile13
Maximum101
Range101
Interquartile range (IQR)4

Descriptive statistics

Standard deviation4.741824647
Coefficient of variation (CV)1.695531627
Kurtosis9.350556166
Mean2.796659509
Median Absolute Deviation (MAD)0
Skewness2.563417081
Sum3050255
Variance22.48490098
MonotonicityNot monotonic
2023-02-05T18:20:05.037925image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 583828
42.2%
4 96620
 
7.0%
1 92422
 
6.7%
2 64684
 
4.7%
8 33516
 
2.4%
5 33370
 
2.4%
6 30747
 
2.2%
7 20438
 
1.5%
3 19762
 
1.4%
9 16040
 
1.2%
Other values (62) 99251
 
7.2%
(Missing) 293659
21.2%
ValueCountFrequency (%)
0 583828
42.2%
1 92422
 
6.7%
2 64684
 
4.7%
3 19762
 
1.4%
4 96620
 
7.0%
ValueCountFrequency (%)
101 1
< 0.1%
99 1
< 0.1%
97 1
< 0.1%
93 1
< 0.1%
92 2
< 0.1%

QT_TUR_MED
Real number (ℝ)

MISSING  ZEROS 

Distinct119
Distinct (%)< 0.1%
Missing293659
Missing (%)21.2%
Infinite0
Infinite (%)0.0%
Mean1.414389031
Minimum0
Maximum211
Zeros918133
Zeros (%)66.3%
Negative0
Negative (%)0.0%
Memory size10.6 MiB
2023-02-05T18:20:05.172327image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile10
Maximum211
Range211
Interquartile range (IQR)0

Descriptive statistics

Standard deviation4.554012178
Coefficient of variation (CV)3.219773398
Kurtosis60.12116295
Mean1.414389031
Median Absolute Deviation (MAD)0
Skewness5.676946013
Sum1542643
Variance20.73902692
MonotonicityNot monotonic
2023-02-05T18:20:05.418056image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 918133
66.3%
3 43104
 
3.1%
6 15950
 
1.2%
4 10220
 
0.7%
5 9642
 
0.7%
9 9517
 
0.7%
7 8742
 
0.6%
8 8710
 
0.6%
10 7138
 
0.5%
12 7040
 
0.5%
Other values (109) 52482
 
3.8%
(Missing) 293659
 
21.2%
ValueCountFrequency (%)
0 918133
66.3%
1 3521
 
0.3%
2 5202
 
0.4%
3 43104
 
3.1%
4 10220
 
0.7%
ValueCountFrequency (%)
211 1
 
< 0.1%
177 1
 
< 0.1%
176 1
 
< 0.1%
164 3
< 0.1%
159 1
 
< 0.1%

QT_TUR_PROF
Real number (ℝ)

MISSING  ZEROS 

Distinct156
Distinct (%)< 0.1%
Missing293659
Missing (%)21.2%
Infinite0
Infinite (%)0.0%
Mean0.3896704619
Minimum0
Maximum309
Zeros1048623
Zeros (%)75.7%
Negative0
Negative (%)0.0%
Memory size10.6 MiB
2023-02-05T18:20:05.545976image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum309
Range309
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.309300345
Coefficient of variation (CV)8.492561455
Kurtosis677.3949354
Mean0.3896704619
Median Absolute Deviation (MAD)0
Skewness18.81629375
Sum425005
Variance10.95146877
MonotonicityNot monotonic
2023-02-05T18:20:05.671099image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1048623
75.7%
1 6580
 
0.5%
2 4903
 
0.4%
3 4139
 
0.3%
4 3328
 
0.2%
5 2365
 
0.2%
6 2085
 
0.2%
8 1588
 
0.1%
7 1554
 
0.1%
12 1452
 
0.1%
Other values (146) 14061
 
1.0%
(Missing) 293659
 
21.2%
ValueCountFrequency (%)
0 1048623
75.7%
1 6580
 
0.5%
2 4903
 
0.4%
3 4139
 
0.3%
4 3328
 
0.2%
ValueCountFrequency (%)
309 1
< 0.1%
298 1
< 0.1%
295 1
< 0.1%
288 1
< 0.1%
252 1
< 0.1%

QT_TUR_PROF_TEC
Real number (ℝ)

MISSING  ZEROS 

Distinct151
Distinct (%)< 0.1%
Missing293659
Missing (%)21.2%
Infinite0
Infinite (%)0.0%
Mean0.3729808431
Minimum0
Maximum309
Zeros1051297
Zeros (%)75.9%
Negative0
Negative (%)0.0%
Memory size10.6 MiB
2023-02-05T18:20:05.807542image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum309
Range309
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.231467862
Coefficient of variation (CV)8.663897682
Kurtosis709.731076
Mean0.3729808431
Median Absolute Deviation (MAD)0
Skewness19.16304544
Sum406802
Variance10.44238454
MonotonicityNot monotonic
2023-02-05T18:20:05.937651image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1051297
75.9%
1 5432
 
0.4%
2 4521
 
0.3%
3 3972
 
0.3%
4 3250
 
0.2%
5 2125
 
0.2%
6 2029
 
0.1%
8 1530
 
0.1%
7 1525
 
0.1%
12 1474
 
0.1%
Other values (141) 13523
 
1.0%
(Missing) 293659
 
21.2%
ValueCountFrequency (%)
0 1051297
75.9%
1 5432
 
0.4%
2 4521
 
0.3%
3 3972
 
0.3%
4 3250
 
0.2%
ValueCountFrequency (%)
309 1
< 0.1%
296 1
< 0.1%
295 1
< 0.1%
288 1
< 0.1%
249 1
< 0.1%

QT_TUR_EJA
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct230
Distinct (%)< 0.1%
Missing293659
Missing (%)21.2%
Infinite0
Infinite (%)0.0%
Mean0.7146921456
Minimum0
Maximum926
Zeros908343
Zeros (%)65.6%
Negative0
Negative (%)0.0%
Memory size10.6 MiB
2023-02-05T18:20:06.072232image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile4
Maximum926
Range926
Interquartile range (IQR)0

Descriptive statistics

Standard deviation4.233387206
Coefficient of variation (CV)5.923371667
Kurtosis9701.292129
Mean0.7146921456
Median Absolute Deviation (MAD)0
Skewness70.53674612
Sum779499
Variance17.92156724
MonotonicityNot monotonic
2023-02-05T18:20:06.197746image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 908343
65.6%
1 50037
 
3.6%
2 35973
 
2.6%
3 22974
 
1.7%
4 20846
 
1.5%
5 12523
 
0.9%
6 11191
 
0.8%
7 6719
 
0.5%
8 5817
 
0.4%
9 3609
 
0.3%
Other values (220) 12646
 
0.9%
(Missing) 293659
 
21.2%
ValueCountFrequency (%)
0 908343
65.6%
1 50037
 
3.6%
2 35973
 
2.6%
3 22974
 
1.7%
4 20846
 
1.5%
ValueCountFrequency (%)
926 1
< 0.1%
880 1
< 0.1%
781 1
< 0.1%
764 1
< 0.1%
675 1
< 0.1%

QT_TUR_EJA_FUND
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct129
Distinct (%)< 0.1%
Missing293659
Missing (%)21.2%
Infinite0
Infinite (%)0.0%
Mean0.4799363332
Minimum0
Maximum675
Zeros939754
Zeros (%)67.9%
Negative0
Negative (%)0.0%
Memory size10.6 MiB
2023-02-05T18:20:06.329055image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile3
Maximum675
Range675
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.345838975
Coefficient of variation (CV)4.887812847
Kurtosis13478.97976
Mean0.4799363332
Median Absolute Deviation (MAD)0
Skewness61.78321431
Sum523456
Variance5.502960498
MonotonicityNot monotonic
2023-02-05T18:20:06.453506image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 939754
67.9%
1 51036
 
3.7%
2 32276
 
2.3%
3 17833
 
1.3%
4 16448
 
1.2%
5 9125
 
0.7%
6 7464
 
0.5%
7 4093
 
0.3%
8 3690
 
0.3%
9 2046
 
0.1%
Other values (119) 6913
 
0.5%
(Missing) 293659
 
21.2%
ValueCountFrequency (%)
0 939754
67.9%
1 51036
 
3.7%
2 32276
 
2.3%
3 17833
 
1.3%
4 16448
 
1.2%
ValueCountFrequency (%)
675 1
< 0.1%
670 1
< 0.1%
347 1
< 0.1%
213 1
< 0.1%
190 1
< 0.1%

QT_TUR_EJA_MED
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct178
Distinct (%)< 0.1%
Missing293659
Missing (%)21.2%
Infinite0
Infinite (%)0.0%
Mean0.2347558124
Minimum0
Maximum781
Zeros1033388
Zeros (%)74.6%
Negative0
Negative (%)0.0%
Memory size10.6 MiB
2023-02-05T18:20:06.594553image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum781
Range781
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.775171942
Coefficient of variation (CV)11.82152601
Kurtosis23216.3714
Mean0.2347558124
Median Absolute Deviation (MAD)0
Skewness114.5597088
Sum256043
Variance7.70157931
MonotonicityNot monotonic
2023-02-05T18:20:06.728336image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1033388
74.6%
2 12167
 
0.9%
3 11145
 
0.8%
1 10595
 
0.8%
4 7303
 
0.5%
5 4124
 
0.3%
6 3980
 
0.3%
7 2066
 
0.1%
8 1502
 
0.1%
9 1092
 
0.1%
Other values (168) 3316
 
0.2%
(Missing) 293659
 
21.2%
ValueCountFrequency (%)
0 1033388
74.6%
1 10595
 
0.8%
2 12167
 
0.9%
3 11145
 
0.8%
4 7303
 
0.5%
ValueCountFrequency (%)
781 1
< 0.1%
764 1
< 0.1%
736 1
< 0.1%
700 1
< 0.1%
397 1
< 0.1%

QT_TUR_ESP
Real number (ℝ)

MISSING  ZEROS 

Distinct83
Distinct (%)< 0.1%
Missing293659
Missing (%)21.2%
Infinite0
Infinite (%)0.0%
Mean3.647628356
Minimum0
Maximum113
Zeros375213
Zeros (%)27.1%
Negative0
Negative (%)0.0%
Memory size10.6 MiB
2023-02-05T18:20:06.869691image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q35
95-th percentile15
Maximum113
Range113
Interquartile range (IQR)5

Descriptive statistics

Standard deviation5.24273118
Coefficient of variation (CV)1.437298614
Kurtosis8.267370282
Mean3.647628356
Median Absolute Deviation (MAD)1
Skewness2.357764165
Sum3978388
Variance27.48623022
MonotonicityNot monotonic
2023-02-05T18:20:07.001296image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 375213
27.1%
1 181680
13.1%
2 103727
 
7.5%
3 71466
 
5.2%
4 55613
 
4.0%
5 45460
 
3.3%
6 38334
 
2.8%
7 33026
 
2.4%
8 28135
 
2.0%
9 24243
 
1.8%
Other values (73) 133781
 
9.7%
(Missing) 293659
21.2%
ValueCountFrequency (%)
0 375213
27.1%
1 181680
13.1%
2 103727
 
7.5%
3 71466
 
5.2%
4 55613
 
4.0%
ValueCountFrequency (%)
113 1
< 0.1%
101 1
< 0.1%
98 1
< 0.1%
89 1
< 0.1%
88 1
< 0.1%

QT_TUR_ESP_CC
Real number (ℝ)

MISSING  ZEROS 

Distinct77
Distinct (%)< 0.1%
Missing293659
Missing (%)21.2%
Infinite0
Infinite (%)0.0%
Mean3.533996285
Minimum0
Maximum101
Zeros386624
Zeros (%)27.9%
Negative0
Negative (%)0.0%
Memory size10.6 MiB
2023-02-05T18:20:07.135634image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q35
95-th percentile14
Maximum101
Range101
Interquartile range (IQR)5

Descriptive statistics

Standard deviation5.136386837
Coefficient of variation (CV)1.453421686
Kurtosis7.608082778
Mean3.533996285
Median Absolute Deviation (MAD)1
Skewness2.330513939
Sum3854452
Variance26.38246974
MonotonicityNot monotonic
2023-02-05T18:20:07.407434image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 386624
27.9%
1 181553
13.1%
2 103316
 
7.5%
3 70874
 
5.1%
4 54762
 
4.0%
5 44637
 
3.2%
6 37435
 
2.7%
7 32148
 
2.3%
8 27330
 
2.0%
9 23530
 
1.7%
Other values (67) 128469
 
9.3%
(Missing) 293659
21.2%
ValueCountFrequency (%)
0 386624
27.9%
1 181553
13.1%
2 103316
 
7.5%
3 70874
 
5.1%
4 54762
 
4.0%
ValueCountFrequency (%)
101 1
< 0.1%
98 1
< 0.1%
89 1
< 0.1%
87 1
< 0.1%
81 1
< 0.1%

QT_TUR_ESP_CE
Real number (ℝ)

MISSING  ZEROS 

Distinct73
Distinct (%)< 0.1%
Missing293659
Missing (%)21.2%
Infinite0
Infinite (%)0.0%
Mean0.1136320711
Minimum0
Maximum113
Zeros1070524
Zeros (%)77.3%
Negative0
Negative (%)0.0%
Memory size10.6 MiB
2023-02-05T18:20:07.543840image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum113
Range113
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.257581855
Coefficient of variation (CV)11.06713838
Kurtosis595.6992437
Mean0.1136320711
Median Absolute Deviation (MAD)0
Skewness19.5007672
Sum123936
Variance1.581512121
MonotonicityNot monotonic
2023-02-05T18:20:07.666717image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1070524
77.3%
1 5467
 
0.4%
2 2981
 
0.2%
4 1397
 
0.1%
3 1301
 
0.1%
5 1113
 
0.1%
6 1045
 
0.1%
7 903
 
0.1%
8 876
 
0.1%
9 683
 
< 0.1%
Other values (63) 4388
 
0.3%
(Missing) 293659
 
21.2%
ValueCountFrequency (%)
0 1070524
77.3%
1 5467
 
0.4%
2 2981
 
0.2%
3 1301
 
0.1%
4 1397
 
0.1%
ValueCountFrequency (%)
113 1
< 0.1%
88 1
< 0.1%
81 1
< 0.1%
75 1
< 0.1%
72 2
< 0.1%

NU_ANO_CENSO
Real number (ℝ)

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2018.454301
Minimum2016
Maximum2021
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.3 MiB
2023-02-05T18:20:07.763962image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum2016
5-th percentile2016
Q12017
median2018
Q32020
95-th percentile2021
Maximum2021
Range5
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.703344713
Coefficient of variation (CV)0.0008438856963
Kurtosis-1.260320315
Mean2018.454301
Median Absolute Deviation (MAD)1
Skewness0.03693897419
Sum2794220972
Variance2.901383213
MonotonicityIncreasing
2023-02-05T18:20:07.851263image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
2016 237506
17.2%
2017 236481
17.1%
2018 236460
17.1%
2019 228521
16.5%
2020 224229
16.2%
2021 221140
16.0%
ValueCountFrequency (%)
2016 237506
17.2%
2017 236481
17.1%
2018 236460
17.1%
2019 228521
16.5%
2020 224229
16.2%
ValueCountFrequency (%)
2021 221140
16.0%
2020 224229
16.2%
2019 228521
16.5%
2018 236460
17.1%
2017 236481
17.1%